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Staff Software Engineer, Data Warehouse Foundation

Provides technical leadership for Pinterest’s data warehouse foundation and agentic analytics platforms at massive scale. The role designs warehouse architecture, leads cross-functional initiatives, mentors engineers, and requires extensive data platform experience plus hands-on AI tooling expertise.

About the job

Responsibilities

  • Define and design Pinterest’s data warehouse architecture, storage, and access patterns.
  • Lead ambiguous, highly challenging, and cross-functional initiatives across data warehouse and agentic data analytics domains.
  • Mentor engineers and raise the technical bar through leadership on complex technical design, execution strategies, and trade-off decisions.
  • Collaborate with Product, Data Science, and Engineering stakeholders to understand user needs, drive alignment, and make progress.

Requirements

  • Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent experience.
  • 8+ years of relevant industry experience with large-scale data warehouses, data tools, and platforms.
  • 5+ years building data warehouses and tools around the data ecosystem.
  • Ability to work with cross-functional partners across multiple organizations.
  • Hands-on experience building tools and data pipelines with AI coding tools such as Cursor, Claude Code, or Codex.
  • Hands-on experience building AI tools and platforms to accelerate data pipeline authoring, data analytics, and engineering productivity.

Technologies

  • Spark
  • Trino
  • Flink
  • Airflow
  • Querybook
  • Superset
  • DataHub
  • Cursor
  • Claude Code
  • Codex

Compensation

  • Base salary range: $177,185–$364,795 USD.
  • Eligible for equity.
  • Benefits information is available through Pinterest.

Skills

Data Warehousing, Spark, Trino, Apache Flink, Apache Airflow, Querybook, Superset, Datahub, Ai Coding Tools, Data Pipelines, Artificial Intelligence, Data Analytics, Data Architecture, Exadata

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