Data Engineer II, Prime Video Advertising

Prime Video is a first-stop entertainment destination offering customers a vast collection of premium programming in one app available across thousands of devices. Prime members can customize their viewing experience and find their favorite movies series documentaries and live sports including Amazon MGM Studios-produced series and movies; licensed fan favorites; and programming from Prime Video add-on subscriptions such as Apple TV Max Crunchyroll and MGM. All customers regardless of whether they have a Prime membership or not can rent or buy titles via the Prime Video Store and can enjoy even more content for free with ads.

Are you interested in shaping the future of entertainment Do you want to invent disrupt and redefine what entertainment means for fans creators and communities all around the globe

As part of the Prime Video team youll get to work on projects that are fast-paced challenging and varied. Also youll get to experiment with new possibilities take risks and collaborate with remarkable people.
Well look for you to bring your diverse perspectives ideas and skill-sets to make Prime Video even better for our customers. With global opportunities for talented creatives technologists marketing professionals and so much more you can decide where a career with Prime Video takes you!

We are seeking a highly skilled and technically adept Data Engineer to join our PVA Data Engineering this role you will design build and maintain scalable fault-tolerant data pipelines and infrastructure to support data-driven insights. Leveraging native AWS technologies and Amazons internal tools you will handle data ingestion transformation integration and ensure high standards of data quality through validation cleansing and deduplication.

You will also be responsible for architecting high-performance scalable and cost-efficient big data processing and storage solutions automating infrastructure with CI/CD principles and optimizing data models to drive efficient ETL processes. You will be interfacing with several key services and APIs write code and build applications in a scalable manner to extract process ingest unstructured data in a streaming batch and asynchronous fashion.

Your role will also focus on data governance ensuring compliance with policies implementing access controls encryption retention and audit mechanisms. Additionally you will work on continuous improvement by automating processes and adopting the latest data engineering technologies. Collaboration with Data Scientists Business Intelligence Engineers (BIEs) Software Development Engineers (SDEs) Product Managers (PMs) and functional managers will be key to delivering tailored data solutions.

Youll also manage diverse technologies such as Python EMR Spark Iceberg Airflow and many AWS data services like Glue Athena Redshift to build a scalable platform that supports analytics and experimentation. The ideal candidate must be customer-obsessed with a passion for advertising able to synthesize a variety of technologies and effectively lead complex projects.

In this position your attention to detail and dedication to high-quality well-documented data products will empower stakeholders to make better data-driven decisions.

Key job responsibilities
- Design and implement scalable fault-tolerant data pipelines using AWS technologies and internal Amazon tools to extract transform and load data from multiple sources.
- Collaborate cross-functionally with BIEs Data Scientists PMs and SDEs to understand data requirements and deliver customized data solutions.
- Automate infrastructure deployment with CI/CD pipelines and ensure streamlined processes for deployment and maintenance.
- Ensure data quality through robust validation cleansing and deduplication techniques.
- Implement data governance standards including access control encryption data retention deletion policies and audit mechanisms to ensure compliance and security.
- Continuously improve and optimize data pipelines and infrastructure staying up to date with emerging technologies and implementing automation and monitoring tools.
- Build a scalable and reliable data platform supporting analytics and experimentation for intuitive self-service data products.
- Write high quality code and build scalable applications that interface with critical services and APIs to extract and process unstructured data
- Work with a range of data technologies including Python EMR Spark Iceberg Airflow and many AWS data services like Glue Athena Redshift to create end-to-end pipelines that consolidate data from disparate systems.

About the team
Prime Video Advertising - Data Measurement and Insights(PVA-DMI) team is a central data and analytics team within the PV-Ads org that plays a pivotal role in fueling the worldwide growth of Amazons video advertising business. We own data platform reporting dashboards measurement and analytical solutions for PV Ads.

- Bachelors degree
- 3 years of data engineering experience
- Experience with data modeling warehousing and building ETL pipelines
- Experience with SQL
- Knowledge of professional software engineering & best practices for full software development life cycle including coding standards software architectures code reviews source control management continuous deployments testing and operational excellence
- Knowledge of distributed systems as it pertains to data storage and computing
- Knowledge of batch and streaming data architectures like Kafka Kinesis Flink Storm Beam
- Experience as a data engineer or related specialty (e.g. software engineer business intelligence engineer data scientist) with a track record of manipulating processing and extracting value from large datasets
- Experience in at least one modern scripting or programming language such as Python Java Scala or NodeJS
- Experience with Apache Spark / Elastic Map Reduce

- 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)
- Masters degree in computer science engineering analytics mathematics statistics IT or equivalent
- Experience programming with at least one modern language such as C C# Java Python Golang PowerShell Ruby
- Experience building/operating highly available distributed systems of data extraction ingestion and processing of large data sets
- Experience that includes strong analytical skills attention to detail and effective communication abilities or experience in technical support

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status disability or other legally protected status.

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 WA SEATTLE - 132100.00 - 178800.00 USD annually