Data Engineer II

Build data infrastructure that directly improves labor planning for Amazon’s delivery network. In this onsite Data Engineer II role in Bellevue, WA, you will help shape an AI-native approach to data engineering for UTR Planning Tech, supporting labor planning across 12 Amazon last-mile and sort-center business lines. You will own core pieces of the data architecture, develop reusable configuration-driven frameworks, and partner with scientists, engineers, BI teams, and product managers to balance customer needs with technical design.

What you’ll do

• Design and own data models for major datasets, creating logical and physical structures that support physical design and multiple downstream consumers.
• Build and optimize ETL pipelines for complex datasets using AWS services such as Redshift, S3, EMR, Glue, Lambda, and Athena, with Python orchestration via Airflow/MWAA.
• Develop configuration-driven data frameworks that replace repetitive custom code across ingestion, transformation, and metric curation, including owning the framework design.
• Create AI agent tooling and MCP-based interfaces that help conversational agents generate SQL, validate configurations, manage data quality rules, and execute pipeline operations using natural language.
• Own ongoing data quality by implementing standardized data contracts, defining SLAs, establishing data certification processes, and automating manual quality workflows.
• Improve self-service access by building analytical data models and tooling that reduce reliance on the DE team for common data access patterns.
• Strengthen engineering processes through automation of manual operations, monitoring and alerting standards, and code quality and dependency management practices.
• Mentor engineers and interns, training team members on how data solutions are constructed, operated, and integrated into the broader architecture.
• Participate in hiring, including the interview process and recruiting for the team.

What you’ll bring

• 3+ years of data engineering experience
• 1+ years developing and operating large-scale BI analytics structures using ETL/ELT processes
• 1+ years developing and operating large-scale BI analytics structures using OLAP technologies
• 1+ years developing and operating large-scale BI analytics structures using data modeling
• 1+ years developing and operating large-scale BI analytics structures using SQL
• 1+ years developing and operating large-scale BI analytics structures using Oracle
• Experience with data modeling, warehousing, and building ETL pipelines

Technology focus

Amazon Redshift, S3, EMR, AWS Glue, Lambda, Athena, Python, Airflow, MWAA, MCP, SQL, Oracle, ETL/ELT, OLAP, Kinesis, FireHose, and IAM roles and permissions.

Preferred qualifications

• Experience with AWS technologies such as Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions
• Experience with non-relational databases or data stores (object storage, document or key-value stores, graph databases, or column-family databases)

Compensation and benefits

• Salary range: USD 132,100 to 178,800 per year
• Sign-on payments
• Restricted stock units (RSUs)
• Health insurance (medical, dental, vision, prescription, Basic Life & AD&D, with option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, and Adoption and Surrogacy Reimbursement coverage)
• 401(k) matching
• Paid time off
• Parental leave