Data Engineer II

Amazon.com Services LLC is seeking a Data Engineer II to design, build, and operate production SQL data pipelines within a cloud data warehouse, enabling AI-driven analytics at enterprise scale. This onsite role is based in Bellevue, WA, with a compensation range of USD 132,100 to 178,800 per year and requires a bachelor’s degree or higher along with at least three years of data engineering experience.

Responsibilities

• Design, implement, and manage production SQL data pipelines in a cloud data warehouse with reliability and observability requirements.
• Model entity schemas, establish metric definitions, and own end-to-end data lineage from raw sources through transformations to consumption.
• Deliver features across backend services and the frontend interfaces for our team’s tools.
• Contribute to an expanding semantic layer encoding business context for AI agents to consume.
• Collaborate with business stakeholders to translate operational expertise into structured, machine-readable definitions.
• Ensure operational health, alerts, on-call readiness, and access controls for your deployments.
• Process large volumes of daily operational data from multiple upstream sources with strong reliability, freshness, and observability.
• Extend full-stack web applications used by business teams, shipping backend and frontend features to make data captureable, reviewable, and actionable at the source.
• Enhance the semantic layer with version-controlled definitions of metrics, entities, relationships, and business context so knowledge resides in code and can be consumed by AI tools.
• Collaborate with business stakeholders to translate domain knowledge into structured, machine-readable definitions and tables.
• Own the operational health of deployments, including production alerts, on-call duties, ticket intake, row-level security, and pipeline observability.
• Seek opportunities to reduce manual analysis by moving toward natural language interfaces, richer entity relationships, and more autonomous investigation.
• Explore advances in semantic data modeling, knowledge representation, retrieval, and prompt engineering to improve how AI systems reason over data.
• Produce design documents, scope documents, and runbooks to keep work reviewable, maintainable, and durable.

Requirements

• A minimum of three years of data engineering experience.
• Bachelor's degree or higher in Computer Science, Computer Engineering, Data Science, Electrical Engineering, or related fields, or at least three years of professional software development experience.
• Proficiency in one or more object-oriented languages such as Java, C/C++, or Python.
• Experience with data warehouse architectures, data modeling, infrastructure components, ETL/ELT and reporting/analytic tools, data structures, and hands-on SQL coding.
• Experience with Redshift, Oracle, NoSQL, and related technologies.

Technologies

• SQL
• Python
• Java
• C
• C++
• Redshift
• Oracle
• NoSQL
• S3
• AWS Glue
• EMR
• Kinesis
• Firehose
• Lambda
• IAM

Benefits

• Health insurance
• 401(k) matching
• Paid time off
• Parental leave