Data Engineer II, Amazon MGM Studios Data Insights
Data Engineer II, Amazon MGM Studios Data Insights
Posted on :
17-07-2025
Employer Active
1 Vacancy
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Yearly Salary
$ 118900 - 205600
Vacancy
1 Vacancy
Posted on :
17-07-2025
Job Description
Amazon Studios Technology is revolutionizing how entertainment decisions are made by building innovative data solutions that unlock insights across the content lifecycle. Were seeking skilled data engineers to join our Data & Insights team and help transform raw data into actionable intelligence that shapes the future of Amazon MGM Studios.
Our mission is to empower 2400 customers across Studios and Prime Video organizations with reliable timely data to drive business decisions. As a data engineer youll design and implement data pipelines that integrate diverse sources ensure data quality and enable self-service analytics capabilities.
Key job responsibilities
- Design and implement robust scalable ETL/ELT pipelines across multiple complex data sources
- Create coherent Logical Data Models that drive physical design decisions for significant datasets
- Ensure data quality consistency and reliability across the entire analytics ecosystem
- Build and maintain sophisticated automated data validation and monitoring solutions
- Develop and optimize data models that serve diverse business intelligence needs
- Lead performance optimization for data warehouse systems and pipelines
- Implement data structures using advanced best practices in data modeling ETL/ELT processes SQL Oracle and OLAP technologies
- Make appropriate architectural trade-offs between flexibility performance and complexity
- Balance resource usage efficiency with system requirements and business needs
A day in the life
- Develop and optimize mission-critical data pipelines with significant business impact
- Troubleshoot complex data quality issues and implement systematic scalable fixes
- Partner with senior product and business stakeholders to translate requirements into technical solutions
- Lead optimization efforts for existing ETL/ELT processes to improve performance and reliability
- Support and mentor BI engineers in accessing and utilizing complex data models
- Establish and promote best practices in data system creation data integrity testing and documentation
- Investigate and resolve root causes of complex issues in data integrity and process failures
- Actively participate in code reviews design discussions and team planning sessions
- Train peers on how team data solutions are constructed operated secured and integrated
- Identify opportunities for continuous improvement in team processes and data architecture
- Help recruit and interview for the team while mentoring junior engineers
About the team
We transform complex data from 20 source systems into actionable insights that drive Studios success. Our work enables teams to make data-driven decisions about content investment production operations and business strategy. We maintain high standards for data quality while delivering analytics capabilities that scale with Studios growing needs.
- 3 years of data engineering experience
- Experience with data modeling warehousing and building ETL pipelines
- Experience with AWS technologies like Redshift S3 AWS Glue EMR Kinesis FireHose Lambda and IAM roles and permissions
- Experience with non-relational databases / data stores (object storage document or key-value stores graph databases column-family databases)
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status disability or other legally protected status.
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees supervisors and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees supervisors and staff to ensure exceptional customer service; and follow all federal state and local laws and Company policies. Criminal history may have a direct adverse and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above as well as the abilities to adhere to company policies exercise sound judgment effectively manage stress and work safely and respectfully with others exhibit trustworthiness and professionalism and safeguard business operations and the Companys reputation. Pursuant to the Los Angeles County Fair Chance Ordinance we will consider for employment qualified applicants with arrest and conviction records.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process including support for the interview or onboarding process please visit for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $118900/year in our lowest geographic market up to $205600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge skills and experience. Amazon is a total compensation company. Dependent on the position offered equity sign-on payments and other forms of compensation may be provided as part of a total compensation package in addition to a full range of medical financial and/or other benefits. For more information please visit This position will remain posted until filled. Applicants should apply via our internal or external career site.
Our mission is to empower 2400 customers across Studios and Prime Video organizations with reliable timely data to drive business decisions. As a data engineer youll design and implement data pipelines that integrate diverse sources ensure data quality and enable self-service analytics capabilities.
Key job responsibilities
- Design and implement robust scalable ETL/ELT pipelines across multiple complex data sources
- Create coherent Logical Data Models that drive physical design decisions for significant datasets
- Ensure data quality consistency and reliability across the entire analytics ecosystem
- Build and maintain sophisticated automated data validation and monitoring solutions
- Develop and optimize data models that serve diverse business intelligence needs
- Lead performance optimization for data warehouse systems and pipelines
- Implement data structures using advanced best practices in data modeling ETL/ELT processes SQL Oracle and OLAP technologies
- Make appropriate architectural trade-offs between flexibility performance and complexity
- Balance resource usage efficiency with system requirements and business needs
A day in the life
- Develop and optimize mission-critical data pipelines with significant business impact
- Troubleshoot complex data quality issues and implement systematic scalable fixes
- Partner with senior product and business stakeholders to translate requirements into technical solutions
- Lead optimization efforts for existing ETL/ELT processes to improve performance and reliability
- Support and mentor BI engineers in accessing and utilizing complex data models
- Establish and promote best practices in data system creation data integrity testing and documentation
- Investigate and resolve root causes of complex issues in data integrity and process failures
- Actively participate in code reviews design discussions and team planning sessions
- Train peers on how team data solutions are constructed operated secured and integrated
- Identify opportunities for continuous improvement in team processes and data architecture
- Help recruit and interview for the team while mentoring junior engineers
About the team
We transform complex data from 20 source systems into actionable insights that drive Studios success. Our work enables teams to make data-driven decisions about content investment production operations and business strategy. We maintain high standards for data quality while delivering analytics capabilities that scale with Studios growing needs.
- 3 years of data engineering experience
- Experience with data modeling warehousing and building ETL pipelines
- Experience with AWS technologies like Redshift S3 AWS Glue EMR Kinesis FireHose Lambda and IAM roles and permissions
- Experience with non-relational databases / data stores (object storage document or key-value stores graph databases column-family databases)
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status disability or other legally protected status.
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees supervisors and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees supervisors and staff to ensure exceptional customer service; and follow all federal state and local laws and Company policies. Criminal history may have a direct adverse and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above as well as the abilities to adhere to company policies exercise sound judgment effectively manage stress and work safely and respectfully with others exhibit trustworthiness and professionalism and safeguard business operations and the Companys reputation. Pursuant to the Los Angeles County Fair Chance Ordinance we will consider for employment qualified applicants with arrest and conviction records.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process including support for the interview or onboarding process please visit for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $118900/year in our lowest geographic market up to $205600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge skills and experience. Amazon is a total compensation company. Dependent on the position offered equity sign-on payments and other forms of compensation may be provided as part of a total compensation package in addition to a full range of medical financial and/or other benefits. For more information please visit This position will remain posted until filled. Applicants should apply via our internal or external career site.
Required Experience:
Director
Employment Type
Full-Time
Department / Functional Area
Key Skills
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