Amazon.com Services LLC
Data Science, Data Engineering, transportation and logistics
DataEngineerII,UTRDataEngineering
Neural analysis suggests this role is
optimal for Mid+ candidates.
“Data Engineer II, UTR Data Engineering at Amazon.com Services LLC. Skills: Data engineering, AI-native approach, Data architecture, Data models. Design logical and physical data models. Create coherent models”
What You'll Achieve.
Deliver data solutions impacting planning accuracy
Industry & Context.
Root cause analysis
What They're Looking For.
Must Have
3+ years data engineering experience, 1+ years developing/operating large-scale data structures for BI analytics using ETL/ELT, 1+ years developing/operating large-scale data structures for BI analytics using OLAP, 1+ years developing/operating large-scale data structures for BI analytics using data modeling, 1+ years developing/operating large-scale data structures for BI analytics using SQL, 1+ years developing/operating large-scale data structures for BI analytics using Oracle, Experience with data modeling, Experience with data warehousing, Experience building ETL pipelines
Nice to Have
Experience with AWS technologies, Experience with non-relational databases
What You'll Do.
Design logical and physical data models
Create coherent models
Build and optimize ETL pipelines
Design and build configuration-driven data frameworks
Build AI agent tooling
Build MCP-based interfaces
Own ongoing data quality
Implement standardized data contracts
Establish data certification processes
Automate manual quality processes
Work with planning scientists
Work with software engineers
Work with BI engineers
Work with product managers
Improve self-service access to data
Build analytical data models
Build tooling for data access
Improve engineering processes
Automate manual operations
Establish monitoring and alerting standards
Drive code quality practices
Drive dependency management practices
Train new team members
Participate in interview process
Help recruit for team
How You'll Work.
Team & Collaboration
Cross-functional teams; Planning scientists; Software engineers; BI engineers; Product managers
Full Job Description
UTR Planning Tech builds the data infrastructure that powers labor planning across 12 Amazon last-mile and sort-center business lines. Our pipelines feed the planning systems that determine how Amazon staffs its delivery network, serving hundreds of sites and processing millions of data points daily. Our team is shifting from hand-coded, custom pipelines to an AI-native approach. We are building reusable frameworks where engineers and business users define what they need through configurations and natural language instead of writing custom code for every use case. AI agents handle orchestration, validation, and deployment. We are early in this transformation, which means you will not inherit a finished system. You will help define how we build, what patterns we standardize, and how AI fits into data engineering workflows. If you want to learn fast and have a hand in shaping the way a team works, this is that opportunity. We are hiring a Data Engineer to own significant portions of our data architecture, drive the design of AI-powered frameworks, and deliver data solutions that directly impact planning accuracy across Amazon's delivery network. Key job responsibilities UTR Planning Tech builds the data infrastructure that powers labor planning across 12 Amazon last-mile and sort-center business lines. Our pipelines feed the planning systems that determine how Amazon staffs its delivery network, serving hundreds of sites and processing millions of data points daily. Our team is shifting from hand-coded, custom pipelines to an AI-native approach. We are building reusable frameworks where engineers and business users define what they need through configurations and natural language instead of writing custom code for every use case. AI agents handle orchestration, validation, and deployment. We are early in this transformation, which means you will not inherit a finished system. You will help define how we build, what patterns we standardize, and how AI fits into data en
Applying for this Data Engineer II, UTR Data Engineering role?
Most applicants get filtered before a human reads their resume. See if yours makes the cut.
ANONYMOUS · UNFILTERED
What do employees actually say about Amazon.com Services LLC?
Real rants from real employees. Read before you apply.