> Markdown version of [/jobs/ext/1264524-data-engineer-partner-experience](https://www.wearedevelopers.com/jobs/ext/1264524-data-engineer-partner-experience). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# Data Engineer, Partner Experience

- **Company:** Amazon.com, Inc.
- **Location:** Seattle, WA, United States
- **Experience:** Experienced
- **Salary:** $132,100.0 - $178,800.0
- **Contract:** Permanent contract
- **Skills:** Clean Code Principles, Artificial Intelligence, Amazon Web Services, Amazon S3, Big Data, Information Engineering, Data Infrastructure, Extract Transform Load (ETL), Data Warehousing, Software Design Documents, Perl (Programming Language), Identity and Access Management, Python (Programming Language), SQL Databases, Data Processing, Scripting, Session Description Protocol Security Descriptions (SDES), Electronic Medical Records, Data Lakes, Core Data, AWS Glue, AWS Data Analytics, Data Pipelines, Serverless Computing, Amazon Redshift
- **Published:** July 14, 2026
- **Apply:** https://www.juju.com/job/00000000ggc91c

## About the Role

3+ years of data engineering experience

 - Experience with data modeling, warehousing and building ETL pipelines

 - Experience with SQL

 - Experience in Python, Perl, or another scripting language

Preferred Qualifications

 - Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions

## Description

We are seeking a talented Data Engineer to enhance PCF Data's core data infrastructure by implementing AWS services to build data pipelines, improve data accuracy, reduce latency, increase service stability, and ensure compliance with Amazon-wide data regulations. The Data Engineer will partner with Senior Data Engineers and SDE teams to design and maintain our Redshift-based data warehouse environment, building scalable architectures and migrating critical pipelines to serverless compute platforms. You will also contribute to AI enablement efforts, building the data foundations that power self-service analytics and AI-driven insight generation for our product teams.

As a Data Engineer on the team, you will work with very large datasets in one of the world's largest and most complex data lake and data warehouse environments. You will design, build, and maintain robust data infrastructure to process large volumes of data from various sources.

 - Writing clean, maintainable code that adheres to best practices

 - Leveraging AWS data processing services

 - Possessing broad knowledge of different data types and when to use them

 - Understanding data security and compliance standards to ensure alignment with company policies and regulations

 - Using GenAI to improve efficiency and accelerate delivery

A day in the life

Write the design document to propose the solutions to resolve challenging data processing and data handling.

Meet with peers to discuss proposed solutions.

Review design documents with product managers, senior management, and Senior SDEs to communicate your approach and gather feedback.

Build data infrastructure and pipelines using AWS services.

About the team

We are a centralized data team supporting the Partner and Content Foundations. We process big data using advanced AWS services. We work closely with PMs, TPMs, SDEs, and Applied Scientists, and collaborate with other data teams outside of the Partner and Content Foundations organization to deliver products for Prime Video partners.


## Related Videos

- [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology)
- [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works)
- [How we built an AI-powered code reviewer in 80 hours](https://www.wearedevelopers.com/videos/1511-how-we-built-an-ai-powered-code-reviewer-in-80-hours)
- [WeAreDevelopers LIVE - CSS is DOOMed](https://www.wearedevelopers.com/videos/1838-wearedevelopers-live-css-is-doomed)
- [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data)
- [Tips, Techniques, and Common Pitfalls Debugging Kafka](https://www.wearedevelopers.com/videos/838-tips-techniques-and-common-pitfalls-debugging-kafka)

## Related Articles

- [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story)
- [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know)
- [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk)
- [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers)
- [Dev Digest 162: AI careers, MCP, AWS best practices & floppy sweaters](https://www.wearedevelopers.com/magazine/571-dev-digest-162-ai-careers-mcp-aws-best-practices-floppy-sweaters)
- [Data Analyst Salary in the UK](https://www.wearedevelopers.com/magazine/278-data-analyst-salary-in-the-uk)