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Posted via Amazon Jobs

Data Engineer, PV Prime Video TV - Tech

Posted Aug 3, 2026

Role at a glance

Salary
$145.3K – $196.6K/yr
Location
New York, New York, United States Seattle, Washington, United States
Work arrangement
On-site
Employment
Full-time
Experience
3+ years of data engineering experience

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Role Summary

AI-generated

This Data Engineer role within Prime Video Commerce Analytics designs and implements scalable data infrastructure for subscription, transaction, and device registration datasets. The role builds curated data products and pipelines supporting reporting, analysis, machine learning models, and ad-hoc requests across Prime Video.

What You'll Do

  • Design complex data pipelines and models powering subscription, transaction, and device registration datasets
  • Deliver scalable data solutions on native AWS infrastructure
  • Develop data quality validation frameworks and monitoring solutions ensuring data integrity and timeliness
  • Build and optimize batch and near real-time processing workflows using Spark, Redshift, and Andes
  • Create robust orchestration and monitoring for workflows with complex dependencies
  • Collaborate with cross-functional teams to onboard new data sources

Generated from the employer's posting. Verify important details before applying.

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Qualifications

Required

  • 3+ years of data engineering experience
  • Experience with data modeling, warehousing and building ETL pipelines
  • Experience with SQL

Preferred

  • 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)

Original job description

Content provided by the employer

Come build the future of entertainment with us. Are you interested in shaping the future of movies and television? Do you want to define the next generation of how and what Amazon customers are watching?

Prime Video is a premium streaming service that offers customers a vast collection of TV shows and movies - all with the ease of finding what they love to watch in one place. We offer customers thousands of popular movies and TV shows including Amazon Originals and exclusive licensed content to exciting live sports events. We also offer our members the opportunity to subscribe to add-on channels which they can cancel at anytime and to rent or buy new release movies and TV box sets on the Prime Video Store. Prime Video is a fast-paced, growth business - available in over 200 countries and territories worldwide. The team works in a dynamic environment where innovating on behalf of our customers is at the heart of everything we do. If this sounds exciting to you, please read on.


Key job responsibilities
This is an impactful role within Prime Video (PV) Commerce Analytics, supporting major PV investments in 2026. As a Data Engineer, you will work in one of the world's largest and most complex data warehouse environments, designing and implementing scalable data infrastructure solutions that integrate multiple heterogeneous data sources.

You will leverage AWS big data technologies including Redshift, EMR/Spark, Andes Data Lake, and native AWS services to build and maintain data pipelines that ingest data from Video Commerce, Digital Commerce, Prime, and Device Platform teams. Your curated datasets will serve 50+ downstream teams for reporting, analysis, machine learning models, and ad-hoc requests.

You will build high-performing, scalable data products that directly enable data-driven decision making across Prime Video.

• Design complex data pipelines and models powering subscription, transaction, and device registration datasets
• Deliver scalable data solutions on native AWS infrastructure
• Develop data quality validation frameworks and monitoring solutions ensuring data integrity and timeliness
• Build and optimize batch and near real-time processing workflows using Spark, Redshift, and Andes
• Create robust orchestration and monitoring for workflows with complex dependencies
• Collaborate with cross-functional teams to onboard new data sources

About the team
The team is primarily based in Seattle with additional presence in New York and London. A data-driven organization focused on Prime Video's growth and commerce analytics, with strong representation in business intelligence, data engineering, and product management functions supporting Prime Video's commercial and analytical needs.

Cross-functional team building intelligent systems that integrate content and data to deliver personalized customer experiences across streaming, live events, and emerging formats.

Basic Qualifications

- 3+ years of data engineering experience
- Experience with data modeling, warehousing and building ETL pipelines
- Experience with SQL

Preferred Qualifications

- 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.

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 https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t 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 https://amazon.jobs/en/benefits.



USA, NY, New York - 145,300.00 - 196,600.00 USD annually
USA, WA, SEATTLE - 132,100.00 - 178,800.00 USD annually
amazon

About the company

amazon

Large Enterprise

Amazon is a global leader in e-commerce and cloud computing, founded in 1994 by Jeff Bezos. Initially starting as an online bookstore, it has since expanded its offerings to include a vast range of products and services, including electronics, fashion, and digital content. With Amazon Web Services (AWS), the company also provides powerful cloud solutions to businesses around the world. Known for its innovation, customer-centric approach, and commitment to operational efficiency, Amazon continues to shape the future of retail and technology, consistently seeking new ways to enhance customer experiences.