Data Engineer, PV Prime Video TV - Tech

Amazon • Seattle, WA

17h

About The Position

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.

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.

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.

Requirements

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

Nice To Haves

• 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)

Responsibilities

• 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

Benefits

• 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
• parental leave

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed