Amazon
Data Engineer II, AWS Analytics Engineering
$132K–$179K
Seattle, WA · Full-time · Posted Oct 13, 2026
- Experience
- 5+ years in data engineering and data analysis with Redshift, Oracle, NoSQL, etc.; 3+ years each with ETL/ELT, SQL, and OLAP technologies. Preferred: 4+ years in data warehouse architectures, data modeling, infrastructure, ETL/ELT, and reporting/analytics tools and environments.
About the job
Builds and operates large-scale AWS data pipelines, models, and infrastructure that support analytics and business decisions across AWS.
What you'll do
- Design, build, optimize, and maintain data pipelines and logical data models, addressing data quality, security, scalability, and cost.
- Improve data engineering practices and self-service access; establish SLAs and support monitoring, on-call operations, and incident resolution.
- Collaborate with stakeholders and engineers, deliver work independently, and contribute to mentoring and team knowledge-sharing.
What they ask for
- 5+ years of data engineering experience.
- 3+ years developing and operating large-scale BI data structures using ETL/ELT, SQL, and OLAP technologies.
- 5+ years analyzing and interpreting data with Redshift, Oracle, NoSQL, etc.
- Experience communicating with users, technical teams, and management to gather requirements and describe software features and technical designs.
Nice to have
- Experience with AWS technologies such as Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, and IAM roles and permissions.
- Experience with non-relational data stores, big data technologies, or Data & AI technologies.
Pay
132,100.00 - 178,800.00 USD annually (base salary)
Tools
SQL, ETL/ELT, Redshift, Oracle, NoSQL, AWS Glue, EMR, OLAP
AI focus
Exposure to AI/ML technologies, including LLMs, and foundational understanding of agentic frameworks, including autonomous agents, multi-agent orchestration, and tool integration; use AI to accelerate analytics.
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