Prime Video is changing the way customers watch movies, TV shows, live events, and channels—offering unparalleled choice and convenience across devices such as Fire TV, mobile phones, game consoles, and connected TVs. We deliver world-class viewing experiences to customers in over 240 countries and territories.
The Customer Relationship and Marketing Tech (CRMT) team is building the next generation of personalized customer engagement. Our mission is to deliver data-driven, automated, and highly personalized marketing experiences that deepen customer relationships and drive growth—across channels like email, push notifications, a.com, WhatsApp, and paid media.
CRMT owns the in-house Prime Video outbound messaging platform, which powers end-to-end campaign planning, targeting, and message delivery at global scale. This system supports billions of messages annually, driven by experimentation, audience intelligence, and content personalization. As we expand our impact, we are investing in scalable, reliable data infrastructure to support operational excellence and empower downstream teams with trustworthy, actionable data.
Key job responsibilities
We are looking for a highly motivated and experienced Data Engineer II to join the CRMT team. In this role, you will be responsible for building and maintaining the data infrastructure that powers Prime Video’s customer engagement and marketing strategies. You will design scalable pipelines and orchestrated workflows, own critical datasets, and ensure data accuracy, performance, and availability across systems. Your work will directly support downstream applications across analytics, experimentation, and machine learning use cases, enabling smarter targeting, personalization, and measurement.
As a Data Engineer on the team, you will:
* Design, implement, and maintain scalable and reliable ETL pipelines for personalization, targeting, marketing analytics, and experimentation.
* Build and evolve data models that support both operational workflows and analytical reporting, optimizing for performance, consistency, and usability.
* Work with Engineering teams to instrument production systems, define data contracts, and implement telemetry for marketing event tracking.
* Support CRMT’s outbound platform by ensuring the availability and accuracy of data required for campaign delivery and measurement.
* Collaborate with dependency teams to ensure upstream data reliability and proactively manage communication and change coordination for data schema updates.
* Partner with Business Intelligence Engineers and Data Scientists to deliver clean, structured data for dashboards, reporting, experimentation, and ML use cases.
* Monitor pipeline health, resolve job and cluster issues, and improve automation, testing, and observability to increase system resilience.
* Champion data engineering best practices across the team—including documentation, version control, peer reviews, and operational excellence.
- 3+ years of data engineering experience
- Experience with data modeling, warehousing and building ETL pipelines
- 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
- Experience with SQL- Experience with non-relational databases / data stores (object storage, document or key-value stores, graph databases, column-family databases)
- Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions
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.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $118,900/year in our lowest geographic market up to $205,600/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
https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.
