LandOfferSenior Staff Engineer - Data Engineer
Spotted 3h agoNot ApplicableFull-time
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- 8+ 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 models and materialization
- Experience with incremental models
- Experience building and maintaining macros using Jinja
- Experience with dbt tests and data quality frameworks
- Experience with snapshots
- Experience with seeds and sources
- Experience with documentation and data lineage
- Experience using dbt packages
- Strong experience with at least one cloud data platform:
- Snowflake
- Databricks
- Google BigQuery
- Amazon Redshift
- 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
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