Amazon
Data Engineer II , UTR Data Engineering
Found: Today
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.
Basic Qualifications
- 3+ years of data engineering experience- 1+ years of developing and operating large-scale data structures for business intelligence analytics using ETL/ELT processes experience- 1+ years of developing and operating large-scale data structures for business intelligence analytics using OLAP technologies experience- 1+ years of developing and operating large-scale data structures for business intelligence analytics using data modeling experience- 1+ years of developing and operating large-scale data structures for business intelligence analytics using SQL experience- 1+ years of developing and operating large-scale data structures for business intelligence analytics using Oracle experience- Experience with data modeling, warehousing and building ETL pipelines
Preferred Qualifications
- Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions- Experience with non-relational databases / data stores (object storage, document or key-value stores, graph databases, column-family databases)
