Related skills
redshift aws data warehouse data pipelines llmsπ Description
- Deliver core pipeline components for a net-new data warehouse.
- Write clean, well-tested code across backend, data pipelines, and APIs.
- Take end-to-end ownership of features from design to deployment.
- Shape architecture of a modern AI-native data warehouse.
- Use AI-assisted development; evaluate outputs critically.
- Build data quality checks, monitoring, and observability; participate in on-call.
π― Requirements
- 4-7 years of software engineering experience with production systems.
- Strong full-stack fundamentals: backend, data pipelines, API design.
- Hands-on ETL/ELT, schema design, normalization, data distribution.
- Production experience with LLMs: prompts, model integration, validation.
- Fluency with AI-assisted and agentic development workflows.
- Experience with AWS data infrastructure; Redshift a plus.
π Benefits
- Health, dental, and vision care for you and family.
- Life insurance.
- Mental wellness coverage.
- Fertility and family support.
- Flex Time Off and paid family, medical, and bereavement leave.
- Retirement saving plans and home office setup stipend.
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