Remote Senior Data Engineer for Disney Data Pipelines and Cloud Infrastructure – No Degree or Experience Required, $30/Hour
Introduction to the Role and Company
Imagine being part of a team that brings magic to millions of people around the world. At Disney, we are committed to creating unforgettable experiences through our films, theme parks, and media networks. Our Information Designing group within DDSI is seeking a highly skilled and motivated Senior Data Engineer to join our team. As a Senior Data Engineer, you will play a crucial role in designing and executing ETL/ELT data pipelines, developing database schema/tables/views, and building batch processes using Apache Airflow. If you are passionate about working with large datasets, cloud-based technologies, and collaborating with cross-functional teams, we encourage you to apply for this exciting opportunity.
Job Summary
The successful candidate will be responsible for partnering with our Studios or Enterprise Technology colleagues in various activities around data requirements gathering, data validation scheduling, and review, creating and monitoring ETL/ELT data pipelines, designing and implementing database architecture/tables/views, as well as deploying across multiple environments like DEV, QA/UAT, and Prod. This role will utilize a wide range of technologies to accomplish the job, including but not limited to SQL, Python, Docker, Gitlab, Airflow, Snowflake, Looker, and PostgreSQL.
Key Responsibilities
Design, build, and maintain ETL/ELT data pipelines using Apache Airflow and other technologies
Develop and implement database schema/tables/views to support business requirements
Collaborate with cross-functional teams to gather data requirements and validate data quality
Monitor and optimize data pipelines for performance, scalability, and reliability
Deploy and manage data pipelines across multiple environments, including DEV, QA/UAT, and Prod
Work with large datasets and big data technologies, such as Snowflake, Databricks, or similar
Develop and optimize SQL queries for runtime and cost efficiency
Participate in driving best practices around data engineering and software development processes
Essential Qualifications
To be successful in this role, you should have:
2 years of experience with Python programming language
2 years of experience with SQL and database management
2 years of experience designing, building, and maintaining ETL/ELT data pipelines
2 years of experience with cloud-based technologies, preferably AWS and S3
Experience using Apache Airflow, Databricks, and other big data technologies
2 years of experience using, designing, and building relational databases
2 years of experience using Gitlab/Github and other version control systems
Experience working with large datasets and big data technologies, preferably cloud-based
Preferred Qualifications
While not required, the following qualifications are preferred:
Experience with Snowflake, Airflow, Gitlab, and other technologies used in the role
Master's degree in Computer Science, Math, Engineering, or a related field
Experience in the streaming, media, or digital marketing industry
Minimum Requirements
To be considered for this role, you should have:
2 years of experience in a Data Engineering role
Proficiency in SQL, Python, Snowflake, Gitlab, Airflow, AWS S3, and relational databases
2 years of experience working with cloud platforms and big data technologies
Career Growth Opportunities and Learning Benefits
At Disney, we are committed to the growth and development of our employees. As a Senior Data Engineer, you will have the opportunity to work on complex and challenging projects, collaborate with experienced professionals, and develop new skills and expertise. You will also have access to training and development programs, mentorship, and career advancement opportunities.
Work Environment and Company Culture
Our company culture is built on a foundation of innovation, creativity, and collaboration. We believe in fostering a work environment that is inclusive, diverse, and supportive of our employees' well-being and success. As a remote employee, you will be part of a distributed team that values flexibility, autonomy, and open communication.
Compensation, Perks, and Benefits
We offer a competitive salary of $30/hour, as well as a range of benefits and perks, including:
Flexible working hours and remote work arrangements
Opportunities for career advancement and professional growth
Access to training and development programs
Comprehensive health and wellness benefits
Retirement savings plan and other financial benefits
Conclusion
If you are a motivated and experienced data engineer looking for a new challenge, we encourage you to apply for this exciting opportunity. As a Senior Data Engineer at Disney, you will have the chance to work on complex and rewarding projects, collaborate with talented professionals, and contribute to the success of our company. Don't miss out on this opportunity to join our team and take your career to the next level. Apply now and let's discuss how you can become a vital part of our success story.
Apply Now
Apply Now
Imagine being part of a team that brings magic to millions of people around the world. At Disney, we are committed to creating unforgettable experiences through our films, theme parks, and media networks. Our Information Designing group within DDSI is seeking a highly skilled and motivated Senior Data Engineer to join our team. As a Senior Data Engineer, you will play a crucial role in designing and executing ETL/ELT data pipelines, developing database schema/tables/views, and building batch processes using Apache Airflow. If you are passionate about working with large datasets, cloud-based technologies, and collaborating with cross-functional teams, we encourage you to apply for this exciting opportunity.
Job Summary
The successful candidate will be responsible for partnering with our Studios or Enterprise Technology colleagues in various activities around data requirements gathering, data validation scheduling, and review, creating and monitoring ETL/ELT data pipelines, designing and implementing database architecture/tables/views, as well as deploying across multiple environments like DEV, QA/UAT, and Prod. This role will utilize a wide range of technologies to accomplish the job, including but not limited to SQL, Python, Docker, Gitlab, Airflow, Snowflake, Looker, and PostgreSQL.
Key Responsibilities
Design, build, and maintain ETL/ELT data pipelines using Apache Airflow and other technologies
Develop and implement database schema/tables/views to support business requirements
Collaborate with cross-functional teams to gather data requirements and validate data quality
Monitor and optimize data pipelines for performance, scalability, and reliability
Deploy and manage data pipelines across multiple environments, including DEV, QA/UAT, and Prod
Work with large datasets and big data technologies, such as Snowflake, Databricks, or similar
Develop and optimize SQL queries for runtime and cost efficiency
Participate in driving best practices around data engineering and software development processes
Essential Qualifications
To be successful in this role, you should have:
2 years of experience with Python programming language
2 years of experience with SQL and database management
2 years of experience designing, building, and maintaining ETL/ELT data pipelines
2 years of experience with cloud-based technologies, preferably AWS and S3
Experience using Apache Airflow, Databricks, and other big data technologies
2 years of experience using, designing, and building relational databases
2 years of experience using Gitlab/Github and other version control systems
Experience working with large datasets and big data technologies, preferably cloud-based
Preferred Qualifications
While not required, the following qualifications are preferred:
Experience with Snowflake, Airflow, Gitlab, and other technologies used in the role
Master's degree in Computer Science, Math, Engineering, or a related field
Experience in the streaming, media, or digital marketing industry
Minimum Requirements
To be considered for this role, you should have:
2 years of experience in a Data Engineering role
Proficiency in SQL, Python, Snowflake, Gitlab, Airflow, AWS S3, and relational databases
2 years of experience working with cloud platforms and big data technologies
Career Growth Opportunities and Learning Benefits
At Disney, we are committed to the growth and development of our employees. As a Senior Data Engineer, you will have the opportunity to work on complex and challenging projects, collaborate with experienced professionals, and develop new skills and expertise. You will also have access to training and development programs, mentorship, and career advancement opportunities.
Work Environment and Company Culture
Our company culture is built on a foundation of innovation, creativity, and collaboration. We believe in fostering a work environment that is inclusive, diverse, and supportive of our employees' well-being and success. As a remote employee, you will be part of a distributed team that values flexibility, autonomy, and open communication.
Compensation, Perks, and Benefits
We offer a competitive salary of $30/hour, as well as a range of benefits and perks, including:
Flexible working hours and remote work arrangements
Opportunities for career advancement and professional growth
Access to training and development programs
Comprehensive health and wellness benefits
Retirement savings plan and other financial benefits
Conclusion
If you are a motivated and experienced data engineer looking for a new challenge, we encourage you to apply for this exciting opportunity. As a Senior Data Engineer at Disney, you will have the chance to work on complex and rewarding projects, collaborate with talented professionals, and contribute to the success of our company. Don't miss out on this opportunity to join our team and take your career to the next level. Apply now and let's discuss how you can become a vital part of our success story.
Apply Now
Apply Now