Data Engineer, Prime Video GSS Planning & Strategy

Prime Video offers customers a vast collection of movies series and sportsall available to watch on hundreds of compatible devices. U.S. Prime members can also subscribe to 100 channels including Max discovery Paramount with SHOWTIME BET MGM ViX PBS KIDS NBA League Pass and STARZ with no extra apps to download and no cable required. Prime Video is just one of the savings convenience and entertainment benefits included in a Prime membership. More than 200 million Prime members in 25 countries around the world enjoy access to Amazons enormous selection exceptional value and fast delivery.

Are you interested in shaping the future of entertainment Prime Videos technology marketing and operations teams are creating the best-in-class digital video experience. Youll get to work on projects that are fast-paced challenging and varied. Youll also be able to experiment with new possibilities take risks and collaborate with remarkable people.

Within our Prime Video Global Operations team were looking for a results-driven Data Engineer to build and scale the data infrastructure backbone that powers our reporting analytics and AI-enabled insights this role you will design and implement robust data pipelines integrate data from marketing business teams finance and cross-functional teams. You will also build AI/ML-enabled data solutions and architect the foundational data infrastructure that enables insights planning reporting mechanisms and agentic AI-powered self-service analytics for Amazon PV Global Operations.

This individual has deep expertise in data engineering including scalable ETL/ELT pipelines data modeling and architecting solutions that support high-impact business intelligence. You will be responsible for strengthening Prime Videos Global Marketing Operations data infrastructure operational metrics pipelines and capacity planning data systems. You will build automated reliable and performant data solutions that translate enterprise strategy into actionable forecasting planning and delivery frameworks. Your work will directly influence data-driven business decisions that result in quantifiable outcomes.

The ideal candidate has a strong sense of ownership is self-driven and loves to solve complex data challenges at scale. You will bring a mix of experience including data pipeline development data modeling and governance infrastructure automation stakeholder collaboration and process optimization with a forward-looking mindset toward AI enablement. If you enjoy building the engineering foundation that powers next-generation analytics working in a fast-paced dynamic environment and being challenged by new problems wed like to speak with you!

Key job responsibilities
* Design develop and maintain scalable automated data pipelines and ETL/ELT processes that ingest transform and deliver data to support business reporting and analytics needs.
* Architect data infrastructure for agentic AI and Model Context Protocols (MCP) including structured pipelines usage data capture and systems that power AI-enabled self-service analytics and reporting.
* Build and maintain data lakes data warehouses and APIs ensuring reliable performant access to clean well-governed data. Optimize storage queries and AWS infrastructure costs.
* Create logical data models that drive physical design enabling BI/analytics teams to build self-service reporting on a solid foundation. Support forecasting and capacity planning at scale.
* Establish data quality frameworks monitoring and alerting to ensure accuracy completeness and freshness. Drive governance best practices including lineage tracking documentation and access controls.
* Own instrumentation strategy for key platforms ensuring comprehensive data capture across operational workflows.
* Partner cross-functionally with BI engineers analysts operations science and tech teams to translate data requirements into scalable solutions.

- Bachelors degree in business engineering statistics computer science mathematics or a related field
- 3 years of data engineering experience
- 3 years of experience with big data technologies such as Hadoop Hive Spark or EMR.
- Experience with data modeling warehousing and building ETL/ELT pipelines.
- 4 years of experience with one or more query languages (e.g. SQL PL/SQL DDL HiveQL SparkSQL Scala).
- Experience with Python or another scripting language for data processing.
- Knowledge of data schema design including normalization relational models and dimensional models.
- Cross-team collaboration skills and effective written and verbal communication when interfacing with stakeholders peers and executives.
- Knowledge of professional software engineering best practices for the full software development life cycle including coding standards code reviews source control continuous deployments testing and operational excellence.
- Experience using BI tools (e.g. Tableau QuickSight) to visualize data.

- Advanced Degree (MS) in engineering technology statistics analytics or finance.
- Experience using BI tools (e.g. Tableau QuickSight) to visualize data.
- Experience developing scaling and governing global operations standards and infrastructure across matrixed organizations.
- Experience with ETL tools such as Informatica Airflow ODI SSIS BODI or Datastage.
- Experience architecting/operating solutions built on AWS services including S3 Redshift SageMaker EMR Kinesis Lambda and EC2.
- Experience in large-scale workforce operations or capacity planning functions.
- Experience in data mining and working with large-scale complex datasets in a business environment.
- Experience in statistical analysis using tools such as R SAS or Matlab.

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.

The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience qualifications and location. Amazon also offers comprehensive benefits including health insurance (medical dental vision prescription Basic Life & AD&D insurance and option for Supplemental life plans EAP Mental Health Support Medical Advice Line Flexible Spending Accounts Adoption and Surrogacy Reimbursement coverage) 401(k) matching paid time off and parental leave. Learn more about our benefits at CA Culver City - 132100.00 - 178800.00 USD annually
USA WA SEATTLE - 132100.00 - 178800.00 USD annually