Staff Engineer - Data Engineer

Job description

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 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

Company Description
We are a Digital Product Engineering company that is scaling in a big way! We build products, services, and experiences that inspire, excite, and delight. We work at scale — across all devices and digital mediums, and our people exist everywhere in the world (15000+ experts across 26 countries, to be exact). Our work culture is dynamic and non-hierarchical. We are looking for great new colleagues. That is where you come in!

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