Data Engineer

About the Role “We Power the Magic!” That’s our motto at Disney Experiences (DX). Our team creates world-class immersive digital experiences for the Company’s premier vacation brands and segments. We are responsible for the end-to-end digital and physical Guest experience for all technology & digital-led initiatives across the Attractions & Entertainment, Food & Beverage, Resorts & Transportation and Merchandise lines of business. As a Data Engineer at Disney Experiences, you will assist in designing, building, and overseeing the deployment of technology architecture, solutions, and software aimed at capturing, managing, and utilizing structured and unstructured data from various sources. This role is designed for professionals who are passionate about data engineering and can work effectively within a collaborative team environment. The Data Engineer will create data ingestion pipelines including workloads and applications inside AWS. Implements, troubleshoots, and optimizes distributed solutions based on big data technologies like SQL, S3, Glue, MSK, Snowflake and Redshift to solve large scale processing problems in a Cloud DW environment. Designs syndicated and curated data views that will be used for reporting, analytics, and advanced applications. Apply technical expertise and mathematical concepts to challenging programming problems. Strong communication, interpersonal, and collaboration skills, including the ability to work effectively in an agile / scrum environment. Responsibilities Design and develop data pipelines in AWS & Snowflake Design and develop data views, assist with architecture decisions, deployment, and feedback. Develop and support data solutions using AWS services including CDK, CloudFormation, Kinesis, Lambda, SQS, SNS, S3, and EC2. Ability to debug and troubleshoot across a broad technical stack. Product ownership and strong business support in enterprise level theme park related environment. Working with a variety of business partner groups across Disney Parks and Resorts to implement optimal technical solutions. Provide data and system analysis needed for feature engineering. Develop and maintain data quality checks and validation processes to ensure reliable and accurate data assets. Required Qualifications: 3 years of Data Engineering or similar experience required, supporting SQL in a Data warehouse environment. Strong knowledge of Python and object-oriented programming concepts. Solid working experience with Snowflake native objects like SnowPipe, external/internal stages, external tables, integration objects, stored procedures (Snowflake Scripting), stream & task, data masking, time travel and cloning. Design scalable dimensional and analytical data models that support enterprise reporting, self-service analytics, and data product consumption. Ability to translate business requirements into scalable data solutions and curated datasets. Experience building data pipelines and complex data transformations. Experience with AWS S3, Glue, MSK, Redshift, Spark, or related ETL/Deployment tools. Working knowledge of Data Build Tool (DBT). Experience working in an Agile/Scrum development environment. Strong conceptual understanding of security at rest and in transit for big data pipelines. Strong troubleshooting and problem-solving skills with the ability to analyze and resolve data and system issues. Hands-on experience implementing data pipelines and data models within established architectural frameworks. Strong systems and data analysis skills, and experience with testing in data space. Experience with CI/CD pipelines and source control tools such as GitHub. Preferred Qualifications Experience with Airflow or other workflow orchestration tools. Experience supporting real-time data processing workloads. Familiarity with data governance, metadata management, and data lineage concepts. Exposure to machine learning or analytics use cases. Experience working with large-scale cloud-based data platforms. Required Education Bachelor's degree in computer science, Distributed Computing, Machine Learning, Mathematics or related field Required. Additional Information: Benefits and Perks: Disney offers a rewards package to help you live your best life. This includes health and savings benefits, educational opportunities and special extras that only Disney can provide. Learn more about our benefits and perks at https://jobs.disneycareers.com/benefits . DXMedia LI-SS3 The hiring range for this position in Orlando is $101,800.00-$136,500.00 per year. The base pay actually offered will take into account internal equity and also may vary depending on the candidate’s geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered.

Data Engineer

About the Role “We Power the Magic!” That’s our motto at Disney Experiences (DX). Our team creates world-class immersive digital experiences for the Company’s premier vacation brands and segments. We are responsible for the end-to-end digital and physical Guest experience for all technology & digital-led initiatives across the Attractions & Entertainment, Food & Beverage, Resorts & Transportation and Merchandise lines of business. As a Data Engineer at Disney Experiences, you will assist in designing, building, and overseeing the deployment of technology architecture, solutions, and software aimed at capturing, managing, and utilizing structured and unstructured data from various sources. This role is designed for professionals who are passionate about data engineering and can work effectively within a collaborative team environment. The Data Engineer will create data ingestion pipelines including workloads and applications inside AWS. Implements, troubleshoots, and optimizes distributed solutions based on big data technologies like SQL, S3, Glue, MSK, Snowflake and Redshift to solve large scale processing problems in a Cloud DW environment. Designs syndicated and curated data views that will be used for reporting, analytics, and advanced applications. Apply technical expertise and mathematical concepts to challenging programming problems. Strong communication, interpersonal, and collaboration skills, including the ability to work effectively in an agile / scrum environment. Responsibilities Design and develop data pipelines in AWS & Snowflake Design and develop data views, assist with architecture decisions, deployment, and feedback. Develop and support data solutions using AWS services including CDK, CloudFormation, Kinesis, Lambda, SQS, SNS, S3, and EC2. Ability to debug and troubleshoot across a broad technical stack. Product ownership and strong business support in enterprise level theme park related environment. Working with a variety of business partner groups across Disney Parks and Resorts to implement optimal technical solutions. Provide data and system analysis needed for feature engineering. Develop and maintain data quality checks and validation processes to ensure reliable and accurate data assets. Required Qualifications: 3 years of Data Engineering or similar experience required, supporting SQL in a Data warehouse environment. Strong knowledge of Python and object-oriented programming concepts. Solid working experience with Snowflake native objects like SnowPipe, external/internal stages, external tables, integration objects, stored procedures (Snowflake Scripting), stream & task, data masking, time travel and cloning. Design scalable dimensional and analytical data models that support enterprise reporting, self-service analytics, and data product consumption. Ability to translate business requirements into scalable data solutions and curated datasets. Experience building data pipelines and complex data transformations. Experience with AWS S3, Glue, MSK, Redshift, Spark, or related ETL/Deployment tools. Working knowledge of Data Build Tool (DBT). Experience working in an Agile/Scrum development environment. Strong conceptual understanding of security at rest and in transit for big data pipelines. Strong troubleshooting and problem-solving skills with the ability to analyze and resolve data and system issues. Hands-on experience implementing data pipelines and data models within established architectural frameworks. Strong systems and data analysis skills, and experience with testing in data space. Experience with CI/CD pipelines and source control tools such as GitHub. Preferred Qualifications Experience with Airflow or other workflow orchestration tools. Experience supporting real-time data processing workloads. Familiarity with data governance, metadata management, and data lineage concepts. Exposure to machine learning or analytics use cases. Experience working with large-scale cloud-based data platforms. Required Education Bachelor's degree in computer science, Distributed Computing, Machine Learning, Mathematics or related field Required. Additional Information: Benefits and Perks: Disney offers a rewards package to help you live your best life. This includes health and savings benefits, educational opportunities and special extras that only Disney can provide. Learn more about our benefits and perks at https://jobs.disneycareers.com/benefits . DXMedia LI-SS3 The hiring range for this position in Orlando is $101,800.00-$136,500.00 per year. The base pay actually offered will take into account internal equity and also may vary depending on the candidate’s geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered.

Data Engineer

About the Role “We Power the Magic!” That’s our motto at Disney Experiences (DX). Our team creates world-class immersive digital experiences for the Company’s premier vacation brands and segments. We are responsible for the end-to-end digital and physical Guest experience for all technology & digital-led initiatives across the Attractions & Entertainment, Food & Beverage, Resorts & Transportation and Merchandise lines of business. As a Data Engineer at Disney Experiences, you will assist in designing, building, and overseeing the deployment of technology architecture, solutions, and software aimed at capturing, managing, and utilizing structured and unstructured data from various sources. This role is designed for professionals who are passionate about data engineering and can work effectively within a collaborative team environment. The Data Engineer will create data ingestion pipelines including workloads and applications inside AWS. Implements, troubleshoots, and optimizes distributed solutions based on big data technologies like SQL, S3, Glue, MSK, Snowflake and Redshift to solve large scale processing problems in a Cloud DW environment. Designs syndicated and curated data views that will be used for reporting, analytics, and advanced applications. Apply technical expertise and mathematical concepts to challenging programming problems. Strong communication, interpersonal, and collaboration skills, including the ability to work effectively in an agile / scrum environment. Responsibilities Design and develop data pipelines in AWS & Snowflake Design and develop data views, assist with architecture decisions, deployment, and feedback. Develop and support data solutions using AWS services including CDK, CloudFormation, Kinesis, Lambda, SQS, SNS, S3, and EC2. Ability to debug and troubleshoot across a broad technical stack. Product ownership and strong business support in enterprise level theme park related environment. Working with a variety of business partner groups across Disney Parks and Resorts to implement optimal technical solutions. Provide data and system analysis needed for feature engineering. Develop and maintain data quality checks and validation processes to ensure reliable and accurate data assets. Required Qualifications: 3 years of Data Engineering or similar experience required, supporting SQL in a Data warehouse environment. Strong knowledge of Python and object-oriented programming concepts. Solid working experience with Snowflake native objects like SnowPipe, external/internal stages, external tables, integration objects, stored procedures (Snowflake Scripting), stream & task, data masking, time travel and cloning. Design scalable dimensional and analytical data models that support enterprise reporting, self-service analytics, and data product consumption. Ability to translate business requirements into scalable data solutions and curated datasets. Experience building data pipelines and complex data transformations. Experience with AWS S3, Glue, MSK, Redshift, Spark, or related ETL/Deployment tools. Working knowledge of Data Build Tool (DBT). Experience working in an Agile/Scrum development environment. Strong conceptual understanding of security at rest and in transit for big data pipelines. Strong troubleshooting and problem-solving skills with the ability to analyze and resolve data and system issues. Hands-on experience implementing data pipelines and data models within established architectural frameworks. Strong systems and data analysis skills, and experience with testing in data space. Experience with CI/CD pipelines and source control tools such as GitHub. Preferred Qualifications Experience with Airflow or other workflow orchestration tools. Experience supporting real-time data processing workloads. Familiarity with data governance, metadata management, and data lineage concepts. Exposure to machine learning or analytics use cases. Experience working with large-scale cloud-based data platforms. Required Education Bachelor's degree in computer science, Distributed Computing, Machine Learning, Mathematics or related field Required. Additional Information: Benefits and Perks: Disney offers a rewards package to help you live your best life. This includes health and savings benefits, educational opportunities and special extras that only Disney can provide. Learn more about our benefits and perks at https://jobs.disneycareers.com/benefits . DXMedia LI-SS3 The hiring range for this position in Orlando is $101,800.00-$136,500.00 per year. The base pay actually offered will take into account internal equity and also may vary depending on the candidate’s geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered.

Data Engineer

About the Role “We Power the Magic!” That’s our motto at Disney Experiences (DX). Our team creates world-class immersive digital experiences for the Company’s premier vacation brands and segments. We are responsible for the end-to-end digital and physical Guest experience for all technology & digital-led initiatives across the Attractions & Entertainment, Food & Beverage, Resorts & Transportation and Merchandise lines of business. As a Data Engineer at Disney Experiences, you will assist in designing, building, and overseeing the deployment of technology architecture, solutions, and software aimed at capturing, managing, and utilizing structured and unstructured data from various sources. This role is designed for professionals who are passionate about data engineering and can work effectively within a collaborative team environment. The Data Engineer will create data ingestion pipelines including workloads and applications inside AWS. Implements, troubleshoots, and optimizes distributed solutions based on big data technologies like SQL, S3, Glue, MSK, Snowflake and Redshift to solve large scale processing problems in a Cloud DW environment. Designs syndicated and curated data views that will be used for reporting, analytics, and advanced applications. Apply technical expertise and mathematical concepts to challenging programming problems. Strong communication, interpersonal, and collaboration skills, including the ability to work effectively in an agile / scrum environment. Responsibilities Design and develop data pipelines in AWS & Snowflake Design and develop data views, assist with architecture decisions, deployment, and feedback. Develop and support data solutions using AWS services including CDK, CloudFormation, Kinesis, Lambda, SQS, SNS, S3, and EC2. Ability to debug and troubleshoot across a broad technical stack. Product ownership and strong business support in enterprise level theme park related environment. Working with a variety of business partner groups across Disney Parks and Resorts to implement optimal technical solutions. Provide data and system analysis needed for feature engineering. Develop and maintain data quality checks and validation processes to ensure reliable and accurate data assets. Required Qualifications: 3 years of Data Engineering or similar experience required, supporting SQL in a Data warehouse environment. Strong knowledge of Python and object-oriented programming concepts. Solid working experience with Snowflake native objects like SnowPipe, external/internal stages, external tables, integration objects, stored procedures (Snowflake Scripting), stream & task, data masking, time travel and cloning. Design scalable dimensional and analytical data models that support enterprise reporting, self-service analytics, and data product consumption. Ability to translate business requirements into scalable data solutions and curated datasets. Experience building data pipelines and complex data transformations. Experience with AWS S3, Glue, MSK, Redshift, Spark, or related ETL/Deployment tools. Working knowledge of Data Build Tool (DBT). Experience working in an Agile/Scrum development environment. Strong conceptual understanding of security at rest and in transit for big data pipelines. Strong troubleshooting and problem-solving skills with the ability to analyze and resolve data and system issues. Hands-on experience implementing data pipelines and data models within established architectural frameworks. Strong systems and data analysis skills, and experience with testing in data space. Experience with CI/CD pipelines and source control tools such as GitHub. Preferred Qualifications Experience with Airflow or other workflow orchestration tools. Experience supporting real-time data processing workloads. Familiarity with data governance, metadata management, and data lineage concepts. Exposure to machine learning or analytics use cases. Experience working with large-scale cloud-based data platforms. Required Education Bachelor's degree in computer science, Distributed Computing, Machine Learning, Mathematics or related field Required. Additional Information: Benefits and Perks: Disney offers a rewards package to help you live your best life. This includes health and savings benefits, educational opportunities and special extras that only Disney can provide. Learn more about our benefits and perks at https://jobs.disneycareers.com/benefits . DXMedia LI-SS3 The hiring range for this position in Orlando is $101,800.00-$136,500.00 per year. The base pay actually offered will take into account internal equity and also may vary depending on the candidate’s geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered.

Data Engineer

About the Role “We Power the Magic!” That’s our motto at Disney Experiences (DX). Our team creates world-class immersive digital experiences for the Company’s premier vacation brands and segments. We are responsible for the end-to-end digital and physical Guest experience for all technology & digital-led initiatives across the Attractions & Entertainment, Food & Beverage, Resorts & Transportation and Merchandise lines of business. As a Data Engineer at Disney Experiences, you will assist in designing, building, and overseeing the deployment of technology architecture, solutions, and software aimed at capturing, managing, and utilizing structured and unstructured data from various sources. This role is designed for professionals who are passionate about data engineering and can work effectively within a collaborative team environment. The Data Engineer will create data ingestion pipelines including workloads and applications inside AWS. Implements, troubleshoots, and optimizes distributed solutions based on big data technologies like SQL, S3, Glue, MSK, Snowflake and Redshift to solve large scale processing problems in a Cloud DW environment. Designs syndicated and curated data views that will be used for reporting, analytics, and advanced applications. Apply technical expertise and mathematical concepts to challenging programming problems. Strong communication, interpersonal, and collaboration skills, including the ability to work effectively in an agile / scrum environment. Responsibilities Design and develop data pipelines in AWS & Snowflake Design and develop data views, assist with architecture decisions, deployment, and feedback. Develop and support data solutions using AWS services including CDK, CloudFormation, Kinesis, Lambda, SQS, SNS, S3, and EC2. Ability to debug and troubleshoot across a broad technical stack. Product ownership and strong business support in enterprise level theme park related environment. Working with a variety of business partner groups across Disney Parks and Resorts to implement optimal technical solutions. Provide data and system analysis needed for feature engineering. Develop and maintain data quality checks and validation processes to ensure reliable and accurate data assets. Required Qualifications: 3 years of Data Engineering or similar experience required, supporting SQL in a Data warehouse environment. Strong knowledge of Python and object-oriented programming concepts. Solid working experience with Snowflake native objects like SnowPipe, external/internal stages, external tables, integration objects, stored procedures (Snowflake Scripting), stream & task, data masking, time travel and cloning. Design scalable dimensional and analytical data models that support enterprise reporting, self-service analytics, and data product consumption. Ability to translate business requirements into scalable data solutions and curated datasets. Experience building data pipelines and complex data transformations. Experience with AWS S3, Glue, MSK, Redshift, Spark, or related ETL/Deployment tools. Working knowledge of Data Build Tool (DBT). Experience working in an Agile/Scrum development environment. Strong conceptual understanding of security at rest and in transit for big data pipelines. Strong troubleshooting and problem-solving skills with the ability to analyze and resolve data and system issues. Hands-on experience implementing data pipelines and data models within established architectural frameworks. Strong systems and data analysis skills, and experience with testing in data space. Experience with CI/CD pipelines and source control tools such as GitHub. Preferred Qualifications Experience with Airflow or other workflow orchestration tools. Experience supporting real-time data processing workloads. Familiarity with data governance, metadata management, and data lineage concepts. Exposure to machine learning or analytics use cases. Experience working with large-scale cloud-based data platforms. Required Education Bachelor's degree in computer science, Distributed Computing, Machine Learning, Mathematics or related field Required. Additional Information: Benefits and Perks: Disney offers a rewards package to help you live your best life. This includes health and savings benefits, educational opportunities and special extras that only Disney can provide. Learn more about our benefits and perks at https://jobs.disneycareers.com/benefits . DXMedia LI-SS3 The hiring range for this position in Orlando is $101,800.00-$136,500.00 per year. The base pay actually offered will take into account internal equity and also may vary depending on the candidate’s geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered.

Data Engineer

About the Role “We Power the Magic!” That’s our motto at Disney Experiences (DX). Our team creates world-class immersive digital experiences for the Company’s premier vacation brands and segments. We are responsible for the end-to-end digital and physical Guest experience for all technology & digital-led initiatives across the Attractions & Entertainment, Food & Beverage, Resorts & Transportation and Merchandise lines of business. As a Data Engineer at Disney Experiences, you will assist in designing, building, and overseeing the deployment of technology architecture, solutions, and software aimed at capturing, managing, and utilizing structured and unstructured data from various sources. This role is designed for professionals who are passionate about data engineering and can work effectively within a collaborative team environment. The Data Engineer will create data ingestion pipelines including workloads and applications inside AWS. Implements, troubleshoots, and optimizes distributed solutions based on big data technologies like SQL, S3, Glue, MSK, Snowflake and Redshift to solve large scale processing problems in a Cloud DW environment. Designs syndicated and curated data views that will be used for reporting, analytics, and advanced applications. Apply technical expertise and mathematical concepts to challenging programming problems. Strong communication, interpersonal, and collaboration skills, including the ability to work effectively in an agile / scrum environment. Responsibilities Design and develop data pipelines in AWS & Snowflake Design and develop data views, assist with architecture decisions, deployment, and feedback. Develop and support data solutions using AWS services including CDK, CloudFormation, Kinesis, Lambda, SQS, SNS, S3, and EC2. Ability to debug and troubleshoot across a broad technical stack. Product ownership and strong business support in enterprise level theme park related environment. Working with a variety of business partner groups across Disney Parks and Resorts to implement optimal technical solutions. Provide data and system analysis needed for feature engineering. Develop and maintain data quality checks and validation processes to ensure reliable and accurate data assets. Required Qualifications: 3 years of Data Engineering or similar experience required, supporting SQL in a Data warehouse environment. Strong knowledge of Python and object-oriented programming concepts. Solid working experience with Snowflake native objects like SnowPipe, external/internal stages, external tables, integration objects, stored procedures (Snowflake Scripting), stream & task, data masking, time travel and cloning. Design scalable dimensional and analytical data models that support enterprise reporting, self-service analytics, and data product consumption. Ability to translate business requirements into scalable data solutions and curated datasets. Experience building data pipelines and complex data transformations. Experience with AWS S3, Glue, MSK, Redshift, Spark, or related ETL/Deployment tools. Working knowledge of Data Build Tool (DBT). Experience working in an Agile/Scrum development environment. Strong conceptual understanding of security at rest and in transit for big data pipelines. Strong troubleshooting and problem-solving skills with the ability to analyze and resolve data and system issues. Hands-on experience implementing data pipelines and data models within established architectural frameworks. Strong systems and data analysis skills, and experience with testing in data space. Experience with CI/CD pipelines and source control tools such as GitHub. Preferred Qualifications Experience with Airflow or other workflow orchestration tools. Experience supporting real-time data processing workloads. Familiarity with data governance, metadata management, and data lineage concepts. Exposure to machine learning or analytics use cases. Experience working with large-scale cloud-based data platforms. Required Education Bachelor's degree in computer science, Distributed Computing, Machine Learning, Mathematics or related field Required. Additional Information: Benefits and Perks: Disney offers a rewards package to help you live your best life. This includes health and savings benefits, educational opportunities and special extras that only Disney can provide. Learn more about our benefits and perks at https://jobs.disneycareers.com/benefits . DXMedia LI-SS3 The hiring range for this position in Orlando is $101,800.00-$136,500.00 per year. The base pay actually offered will take into account internal equity and also may vary depending on the candidate’s geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered.

Senior Electrical Engineer- Utility Projects

The Senior Electrical Engineer- Projects supports the Reedy Creek Energy Services Project Management Department in the successful execution of capital and maintenance projects for the utility’s electric distribution system. This role assists with project planning, design coordination, field support, and documentation to ensure projects are delivered safely on schedule, and within budget while meeting technical standards and operational needs. Working with operations and project managers, the Electrical Engineer- Projects helps integrate engineering requirements into project workflows, ensures accurate communication between stakeholders, and supports construction activities from initiation through closeout. The ideal candidate is highly organized, detail-oriented, and eager to build technical and project delivery skills in a utility environment. This position reports to the Manager of Projects, Electrical. What You Will Do Manage and oversee external design firms to ensure engineering designs meet project requirements, quality standards, schedules, and budget constraints Support the planning and execution of underground electric distribution projects, including cable replacements, duct bank installations, switchgear upgrades, and associated communication or SCADA improvements. Assist project managers with developing scopes of work, schedules, budgets, and resource plans for assigned projects. Coordinate with engineering, operations, GIS, construction crews, and external contractors to ensure project requirements and design intent are clearly understood. Help prepare project documentation including drawings, specifications, bid packages, submittal reviews, and as-built records. Conduct on-site field visits to verify existing underground conditions, support construction activities, and track project progress. Assist with project risk identification and mitigation, including reliability and outage impact assessments. Maintain accurate and organized project files, tracking logs, and records to support project reporting and compliance needs. Provide support for commissioning activities, equipment testing, and project closeout deliverables. Participate in troubleshooting efforts for distribution equipment or systems related to ongoing project work. Must be flexible and available to respond to after-hour emergencies under short notice. This includes responding to emergencies outside of normal work shift Required Qualifications & Skills Utility experience in high voltage (up to 15kV) electric distribution systems Proficiency in the design and/or installation understanding of electrical distribution systems, with interest in underground infrastructure such as cables, vaults, manholes, and switchgear. 5 years of experience in electrical distribution. Proficiency with diagnostic and performance monitoring tools. Proactive problem-solving skills with the ability to collaborate across multiple teams. Strong organizational and communication skills suited for a project-driven environment. Preferred Qualifications 8 years of experience in electric distribution. Experience with design and construction of various electrical transmission, substation or distribution systems, material and equipment (69kV and 12kV) Registration as a professional engineer (PE) in the State of Florida Proven ability to negotiate effective decision-making with clients and internal/external service providers across all project phases. Education Bachelor’s degree in science in engineering from an ABET-accredited institution is required. Additional Information Benefits and Perks: Disney offers a rewards package to help you live your best life. This includes health and savings benefits, educational opportunities and special extras that only Disney can provide. Learn more about our benefits and perks at https://jobs.disneycareers.com/benefits. LI-ML3, DXFOS, DXMedia The hiring range for this position in Lake Buena Vista, FL is $100,100.00 to $134,200.00 per year. The base pay actually offered will take into account internal equity and also may vary depending on the candidate’s geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered.

Data Engineer

About the Role “We Power the Magic!” That’s our motto at Disney Experiences (DX). Our team creates world-class immersive digital experiences for the Company’s premier vacation brands and segments. We are responsible for the end-to-end digital and physical Guest experience for all technology & digital-led initiatives across the Attractions & Entertainment, Food & Beverage, Resorts & Transportation and Merchandise lines of business. As a Data Engineer at Disney Experiences, you will assist in designing, building, and overseeing the deployment of technology architecture, solutions, and software aimed at capturing, managing, and utilizing structured and unstructured data from various sources. This role is designed for professionals who are passionate about data engineering and can work effectively within a collaborative team environment. The Data Engineer will create data ingestion pipelines including workloads and applications inside AWS. Implements, troubleshoots, and optimizes distributed solutions based on big data technologies like SQL, S3, Glue, MSK, Snowflake and Redshift to solve large scale processing problems in a Cloud DW environment. Designs syndicated and curated data views that will be used for reporting, analytics, and advanced applications. Apply technical expertise and mathematical concepts to challenging programming problems. Strong communication, interpersonal, and collaboration skills, including the ability to work effectively in an agile / scrum environment. Responsibilities Design and develop data pipelines in AWS & Snowflake Design and develop data views, assist with architecture decisions, deployment, and feedback. Develop and support data solutions using AWS services including CDK, CloudFormation, Kinesis, Lambda, SQS, SNS, S3, and EC2. Ability to debug and troubleshoot across a broad technical stack. Product ownership and strong business support in enterprise level theme park related environment. Working with a variety of business partner groups across Disney Parks and Resorts to implement optimal technical solutions. Provide data and system analysis needed for feature engineering. Develop and maintain data quality checks and validation processes to ensure reliable and accurate data assets. Required Qualifications: 3 years of Data Engineering or similar experience required, supporting SQL in a Data warehouse environment. Strong knowledge of Python and object-oriented programming concepts. Solid working experience with Snowflake native objects like SnowPipe, external/internal stages, external tables, integration objects, stored procedures (Snowflake Scripting), stream & task, data masking, time travel and cloning. Design scalable dimensional and analytical data models that support enterprise reporting, self-service analytics, and data product consumption. Ability to translate business requirements into scalable data solutions and curated datasets. Experience building data pipelines and complex data transformations. Experience with AWS S3, Glue, MSK, Redshift, Spark, or related ETL/Deployment tools. Working knowledge of Data Build Tool (DBT). Experience working in an Agile/Scrum development environment. Strong conceptual understanding of security at rest and in transit for big data pipelines. Strong troubleshooting and problem-solving skills with the ability to analyze and resolve data and system issues. Hands-on experience implementing data pipelines and data models within established architectural frameworks. Strong systems and data analysis skills, and experience with testing in data space. Experience with CI/CD pipelines and source control tools such as GitHub. Preferred Qualifications Experience with Airflow or other workflow orchestration tools. Experience supporting real-time data processing workloads. Familiarity with data governance, metadata management, and data lineage concepts. Exposure to machine learning or analytics use cases. Experience working with large-scale cloud-based data platforms. Required Education Bachelor's degree in computer science, Distributed Computing, Machine Learning, Mathematics or related field Required. Additional Information: Benefits and Perks: Disney offers a rewards package to help you live your best life. This includes health and savings benefits, educational opportunities and special extras that only Disney can provide. Learn more about our benefits and perks at https://jobs.disneycareers.com/benefits . DXMedia LI-SS3 The hiring range for this position in Orlando is $101,800.00-$136,500.00 per year. The base pay actually offered will take into account internal equity and also may vary depending on the candidate’s geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered.

CT Technologist - Weekend Program Night Shift

We've made a lot of progress since opening the doors in 1942, but one thing has never changed - our commitment to serve, heal, lead, educate, and innovate. We believe that every award earned, every record broken and every patient helped is because of the dedicated employees who fill our hallways. At Ochsner, whether you work with patients every day or support those who do, you are making a difference and that matters. Come make a difference at Ochsner Health and discover your future today! This job assesses patients and safely performs routine computed tomography procedures in accordance with prescribed radiation safety procedures and protocols. Serves as a clinical mentor for junior staff and students. To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable qualified individuals with disabilities to perform the essential duties. This job description is a summary of the primary duties and responsibilities of the job and position. It is not intended to be a comprehensive or all-inclusive listing of duties and responsibilities. Contents are subject to change at the company's discretion. Education Required - Completion of an approved radiologic technology program. Work Experience Required - None. Preferred - CT experience. Certifications Required - Registered by the American Registry of Radiologic Technologists (ARRT) and/or computed tomography ARRT (CT) certified OR American Registry of Radiologic Technologists (ARRT) registry eligible, registered by the American Registry of Radiologic Technologists (ARRT) within 90 days of employment, and temporary state license. CT registry eligible within one year. Advanced certification in CT within one year of becoming CT registry eligible. Current unrestricted license in state of practice. Current Basic Life Support (BLS) certification from the American Heart Association. Preferred - Advanced certification in CT by a mechanism acceptable to the American Registry of Radiologic Technologists (ARRT). Knowledge Skills and Abilities (KSAs) * Proficiency in using computers, software, and web-based applications. * Effective verbal and written communication skills and the ability to present information clearly and professionally. * Strong interpersonal skills. * Knowledge of CT procedures and technical language. * Ability to work efficiently and calmly under pressure. * Ability to be self-directed and to function without direct supervision. * Ability and willingness to have and maintain flexibility in work duties and hours (may require flexible schedule such as nights, evenings, weekends, holidays, extended shifts, etc.) and travel throughout and between facilities. * General knowledge of cardiac anatomy, Doppler physics, and the hemodynamics of blood flow in relation to the various disease states. * Ability to preliminarily identify stenosis or occlusion based on nationally published criteria. * Ability to assist attending physicians with interventional procedures requiring ultrasonic guidance. Job Duties * Verifies physician order and procedure to assure accuracy. * Uses radiology information systems to facilitate care. * Explains procedure to patient to ensure understanding. * Independently operates equipment to complete imaging procedure according to protocol (including placement of IV). * Reviews patient images prior to transmission to ensure images meet diagnostic quality standards. * Completes timely quality control procedures in accordance with regulatory standards and performing notification/remediation as warranted. * Assists in the facilitation of departmental operations (inventory, staff schedules, equipment maintenance, etc.). * Adapts behavior to the specific patient population, including but not limited to respect for privacy, method of introduction to the patient, adapting explanation of services or procedures to be performed, requesting permissions and communication style. * Performs other related duties as required. The above statements describe the general nature and level of work only. They are not an exhaustive list of all required responsibilities, duties, and skills. Other duties may be added, or this description amended at any time. Remains knowledgeable on current federal, state and local laws, accreditation standards or regulatory agency requirements that apply to the assigned area of responsibility and ensures compliance with all such laws, regulations and standards. This employer maintains and complies with its Compliance & Privacy Program and Standards of Conduct, including the immediate reporting of any known or suspected unethical or questionable behaviors or conduct; patient/employee safety, patient privacy, and/or other compliance-related concerns. The employer is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status. Physical and Environmental Demands The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Medium Work - Exerting 20 to 50 pounds of force occasionally, and/or 10 to 25 pounds of force frequently, and/or greater than negligible up to 10 pounds of force constantly to move objects. (Constantly: activity or condition exists 2/3 or more of the time) to move objects. Physical demand requirements are in excess of those for Sedentary Work. Even though the weight lifted may be only a negligible amount, a job should be rated Light Work: (1) when it requires walking or standing to a significant degree; or (2) when it requires sitting most of the time but entails pushing and/or pulling of arm or leg controls; and/or (3) when the job requires working at a production rate pace entailing the constant pushing and/or pulling of materials even though the weight of those materials is negligible. NOTE: The constant stress and strain of maintaining a production rate pace, especially in an industrial setting, can be and is physically demanding of a worker even though the amount of force exerted is negligible. Duties performed routinely require exposure to blood, body fluid and tissue. The incumbent works in a patient care area; works in an area where patients enter; works directly with patients; and/or works with specimens that could contain communicable diseases. There may be an occupational risk for exposure to communicable diseases. Because the incumbent works within a healthcare setting, there may be occupational risk for exposure to hazardous medications or hazardous waste within the environment through receipt, transport, storage, preparation, dispensing, administration, cleaning and/or disposal of contaminated waste. The risk level of exposure may increase depending on the essential job duties of the role. Are you ready to make a difference? Apply Today! Ochsner Health does not consider an individual an applicant until they have formally applied to the open position on this careers website. Please refer to the job description to determine whether the position you are interested in is remote or on-site. Individuals who reside in and will work from the following areas are not eligible for remote work position: Colorado, California, Hawaii, Illinois, Maine, Maryland, Massachusetts, Minnesota, New Jersey, New York, Vermont, Washington, and Washington D.C. Ochsner Health endeavors to make our site accessible to all users. If you would like to contact us regarding the accessibility of our website, or if you need an accommodation to complete the application process, please contact our HR Employee Solution Center at 504-842-4748 (select option 1) or [email protected] (mailto:[email protected]) . This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. Ochsner is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to any legally protected class, including protected veterans and individuals with disabilities.

RN - Registered Nurse - First Assistant - Main Operating Room

Find your calling at Mercy! Position Details: New to Mercy? Make a Difference and Get Rewarded – Now Hiring with a Sign-On Bonus! Location: Mercy Hospital Oklahoma City Shift: Full Time (40 hours/week) Overview: Utilizes the nursing process to provide patient care. Maintains professional accountability for provision of patient care for the assigned patients. Evaluates the overall effectiveness of care provided by other direct caregivers. Coordinates the patient care in conjunction with other departments. Maintains patient rights and confidentiality of patient information. Performs duties and responsibilities in a manner consistent with our mission, values, and Mercy Service Standards. Qualifications: Education: Graduate of an accredited nursing program Experience: Must have a minimum of 1-year perioperative nursing experience. Licensure: Is personally responsible for obtaining, and maintaining, a current RN license within the hiring state and/or compact licensure in which nursing duties are performed and must meet all state board of nursing requirements. Certifications: BLS/ACLS required within first year. Certifications Preferred: CNOR certification and/or RN-First Assistant certification class Physical Requirements: Position requires the ability to push, pull, and/or lift 50 lbs. on a regular basis. Position requires prolonged standing and walking during each shift. Position requires the ability to grip, reach, bend, kneel, twist, and squat to perform duties. Why Mercy? From day one, Mercy offers outstanding benefits - including medical, dental, and vision coverage, paid time off, tuition support, and matched retirement plans for team members working 32 hours per pay period. Join a caring, collaborative team where your voice matters. At Mercy, you'll help shape the future of healthcare through innovation, technology, and compassion. As we grow, you'll grow with us. keyword(s): surgical technologist, surg tech, scrub tech, OR, operating room

Outpatient Registered Nurse - RN

PURPOSE AND SCOPE: The professional registered nurse Outpatient RN CAP 1 is an entry level designation into the Clinical Advancement Program (CAP). This position is accountable and responsible for the provision and coordination of clinically competent care including assessment, planning, intervention and evaluation for an assigned group of patients. This may include delegation of appropriate tasks to direct patient care staff including but not limited to RNs, LVN/LPNs and Patient Care Technicians. As a member of the End Stage Kidney Disease (ESKD) health care team, this position participates in decision-making, teaching, leadership functions, and quality improvement activities that enhance patient care outcomes and facility operations. PRINCIPAL DUTIES AND RESPONSIBILITIES: All duties and responsibilities are expected to be performed in accordance with Fresenius Kidney Care policy, procedures, standards of nursing practice, state and federal regulations. · Performs all essential functions under the direction of the Supervisor and with guidance from the Clinical Educator, Preceptor or in collaboration with other Registered Nurses. · Performs ongoing, systematic collection and analysis of patient data pre – during – post hemodialysis treatment for assigned patients and documents in the patient medical record, makes adjustments or modifications to treatment plan as indicated and notifies Team Leader, Charge Nurse, Supervisor or Physician as needed. · Assesses, collaborates, and documents patient/family's basic learning needs to provide initial and ongoing education to patients and family. · Directs and provides, in collaboration with direct and ancillary patient care staff, all aspects of the daily provision of safe and effective delivery of hemodialysis therapy to assigned patients. · Administers medications as prescribed or in accordance with approved algorithm(s), and documents appropriate medical justification and effectiveness. · Initiates or assists with emergency response measures. · Serves as a resource for health care team, participates in staff training and orientation of new staff as assigned. · Ensures correct laboratory collection, processing and shipping procedures are performed and reschedules missed or insufficient laboratory collections. · Identifies expected outcomes, documents and updates the nursing assessment and plan of care for assigned patients through collaboration with the Interdisciplinary Team. · Ensures patient awareness related to transplant and treatment modality options. · Required to complete CAP requirements to advance. · Performs all other duties as assigned by Supervisor. PHYSICAL DEMANDS AND WORKING CONDITIONS: The physical demands and work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. · The position provides direct patient care that regularly involves heavy lifting, moving of patients and assisting with ambulation. Equipment aids and/or coworkers may provide assistance. · This position requires frequent, prolonged periods of standing and the employee must be able to bend over. · The employee may occasionally be required to move, with assistance, machines and equipment of up to 200 lbs., and may lift chemical and water solutions of up to 30 lbs. as high as 5 feet. · The work environment is characteristic of a health care facility with air temperature control and moderate noise levels. · May be exposed to infectious and contagious diseases/materials. · Day to day work includes desk work, computer work, interaction with patients, facility/hospital staff and physicians. · The position may require travel to training sites or other facilities. · May be asked to provide essential functions of this position in other locations with the same physical demands and working conditions as described above. SUPERVISION: Assigned oversight of Patient Care Technicians/LPNs/LVNs/RNs as a Team Leader or designated Nurse in Charge, after meeting all the following: · Successful completion of all FKC education and training requirements for new employees. · Must have a minimum of 9 months experience as a RN. · Must have a minimum of 3 months experience in chronic/acute hemodialysis as a RN. EDUCATION and LICENSURE: · Graduate of an accredited School of Nursing. · Current appropriate state licensure. · Current or successful completion of CPR BLS Certification. · Must meet the practice requirements in the state in which he or she is employed. EXPERIENCE AND REQUIRED SKILLS: · Entry level for RNs with less than 2 years of Nephrology Nursing experience as a Registered Nurse. · Chronic/acute hemodialysis experience (preferred). Fresenius Medical Care maintains a drug-free workplace in accordance with applicable federal and state laws. EOE, disability/veterans

Registered Nurse - Medical Telemetry

Job Description Are you an RN looking for an opportunity to gain experience with lots of opportunities in continuing education? Apply Now Saint Luke's North Hospital is looking for a talented Registered Nurse to join the dynamic Medical Telemetry Unit . Position: Registered Nurse (RN) - Med/Tele Schedule: Full Time, 36 hours, Days Supportive leadership team, with Nursing Assistants to assist Intensivists and NP's work alongside RNs during shifts, Respiratory Therapy available at night Extra incentives available for picking up additional shifts Accountable for utilizing the nursing process. Responsible for performing patient care delegating patient care tasks and for supervision of other patient care staff. Responsible for coordinating the plan of care for a group of assigned patients and consulting with other members of the health care team when indicated to ensure optimal patient outcomes. This clinical nurse demonstrates proficiency and abides by policies rules guidelines and procedures. LI-MS2 Job Requirements Applicable Experience: Less than 1 year Basic Life Support - American Heart Association or Red Cross, Registered Nurse - Various Associate Degree Job Details Full Time Day (United States of America) The best place to get care. The best place to give care . Saint Luke's 12,000 employees strive toward that vision every day. Our employees are proud to work for the only faith-based, nonprofit, locally owned health system in Kansas City. Joining Saint Luke's means joining a team of exceptional professionals who strive for excellence in patient care. Do the best work of your career within a highly diverse and inclusive workspace where all voices matter. Join the Kansas City region's premiere provider of health services. Equal Opportunity Employer.