Data Engineer, Data Center Capacity Delivery
Amazon - Seattle, Washington, USA
Posted May 21, 2026
Benefits
- Parental leave
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- Non-birth-parent leave
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- Family-building benefits
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- Fertility benefits: Not verified
- Adoption assistance: Not verified
- Surrogacy assistance: Not verified
- Mental health support
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- Relocation assistance
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- Childcare support
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- Learning budget
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- Verification
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- Salary
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- 401(k) match
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Schedule
- Shift type
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- Weekend work
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Application
- Cover letter
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- Assessment
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- Deadline
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Where they hire
State eligibility is not yet verified.
About this role
Data Engineer, Data Center Capacity Delivery Seattle, Washington, USA AWS Data Center Capacity Delivery (DCCD) is looking for a Data Engineer to support data center construction globally. We work on the most challenging problems, with thousands of variables impacting the data center delivery - and we're looking for talented people who want to help. You'll join a diverse team of software, hardware, and network engineers, construction specialists, security experts, operations managers, and other vital roles. You'll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. You'll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion. We're looking for a Data Engineer to help us grow our Data Lake and Data Warehouse Systems, built on a serverless architecture with 100% native AWS components including Redshift Spectrum, Athena, S3, Lambda, Glue, EMR, Kinesis, SNS, CloudWatch, and more. We own a world-class data lake that drives multi-billion dollar decisions on a regular cadence, and we're looking to improve on filling the lake quickly with as little human intervention as possible while democratizing the data within it. In this role, you'll also help shape the next generation of our analytics platform by building agentic AI solutions and MCP (Model Context Protocol) servers that enable intelligent, autonomous data workflows. This includes designing AI-driven agents that can discover, query, and reason over our data lake - putting self-service analytics
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