Amazon Data Services, Inc.
Facilities, Maintenance, Real Estate, Data Engineering, Cloud Computing
DataEngineer
Neural analysis suggests this role is
optimal for Mid+ candidates.
“Data Engineer at Amazon Data Services, Inc.. Skills: Data Lake, Data Warehouse, ETL, Agentic AI, Autonomous data workflows. Develop and maintain automated ETL pipelines. Design and build MCP servers”
What You'll Achieve.
Deliver highest standards for safety and security; Provide infinite capacity at lowest cost; Improve filling the lake quickly; Democratize data within it; Enable intelligent, autonomous data workflows; Put self-service analytics capabilities in hands of stakeholders; Answer questions with data; Drive critical improvements for the business
Industry & Context.
Solving business problems with data
What They're Looking For.
Must Have
3+ years of data engineering experience, Experience with data modeling, Experience with warehousing, Experience building ETL pipelines, Experience with SQL, Experience in at least one modern scripting or programming language
Nice to Have
Experience with AWS technologies, Experience with non-relational databases
What You'll Do.
Develop and maintain automated ETL pipelines
Design and build MCP servers
Design agentic AI workflows
Develop and integrate LLM-based solutions
Implement and support reporting and analytics infrastructure
Develop and maintain data security and permissions solutions
Develop data objects for business analytics
Develop and optimize data warehouse and data lake
Develop and maintain data warehouse and data lake
Work with internal business customers to gather requirements
Work with software development teams to gather requirements
How You'll Work.
Team & Collaboration
Cross-functional teams; Internal business customers; Software development teams
Full Job Description
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 capabilities directly in the hands of stakeholders without requiring manual pipeline orchestration. Our Data Engineers build ETL, analytics, and Gen AI-powered solutions for our internal customers to answer questions with data and drive critical improvements for the business. This includes building agentic AI workflows and MCP servers that put self-service analytics directly in stakeholders' hands. Our Data Engineer
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