Staff Engineer
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Job Description
- 6+ years of experience in Data Engineering, Analytics Engineering, or related fields.
- 3+ years of hands-on experience with dbt in production environments.
- Strong expertise in SQL and complex data transformation development.
- Strong understanding of dbt Core and/or dbt Cloud.
- Experience with dbt, including
- dbt models and materialization
- Incremental models
- Macros and Jinja
- dbt tests and data quality frameworks
- Snapshots
- Seeds and sources
- Documentation and lineage
- dbt packages
- Strong experience with at least one cloud data platform, such as:
- Snowflake
- Databricks
- BigQuery
- Amazon Redshif AI skills (required for all roles)
- Daily, fluent use ofClaude Codeand/orGitHub Copilotfor implementation, refactoring, test generation, and code review
- Ability to establish team standards for AI-assisted development: effective prompting, trust-vs-verify discipline on generated code, security/IP guardrails, and reviewing AI-authored changes
- Working understanding of LLM fundamentals: context windows, tokens, model selection, and prompt/context engineering
- Experience integrating AI into developer workflows and agentic/automation tooling (MCP servers, AI-driven CI steps, codegen and doc-generation pipelines)
- Able to evaluate AI tooling pragmatically: measuring real productivity and quality impact, not hype
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