Associate Staff Engineer - Data Engineer

• 4+ 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.
• dbt models and materializations
• Incremental models
• Macros and Jinja
• dbt testing and data quality
• Snapshots, seeds, and sources
• Documentation and data lineage
• dbt packages
• Cloud data platforms (Snowflake, Databricks, BigQuery, or Redshift)

AI skills (required for all roles)

• Daily, fluent use of Claude Code and/or GitHub Copilot for 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