Senior Staff Engineer - Data Engineer

About the Position

We are seeking a Senior Staff Engineer - Data Engineer with 8+ years of experience in Data Engineering to join our team.

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!

Responsibilities

• Design and develop scalable data engineering solutions
• Implement complex data transformation processes
• Collaborate with cross-functional teams to ensure data quality and integrity
• Utilize dbt for data modeling and transformation
• Integrate AI tools into developer workflows for enhanced productivity

Requirements

• 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.

We Offer

• Opportunity to work in a dynamic and non-hierarchical environment.
• Collaborate with a global team of experts.
• Competitive compensation package.

About the Company

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!