Staff Data Platform Engineer — AI-Powered Analytics

Pinterest

United States

Hybrid

USD 177,000 - 365,000

Full time

27 hours ago
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Job summary

Pinterest is seeking a Staff Software Engineer to lead data warehouse and analytics initiatives. You will shape architecture, storage patterns, and cross-functional programs across data systems to support scalable analytics at a massive scale.

You will mentor engineers, drive architectural decisions, and partner with Product, Data Science, and Engineering teams to translate business needs into robust data platforms. This role offers a national presence with flexible on-site/remote collaboration.

Qualifications

  • 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 and data tools.
  • Experience building data warehouses and tools around the data ecosystem (Spark, Trino, Flink, Airflow, Querybook, Superset, DataHub).

Responsibilities

  • Define and design Pinterest's data warehouse architecture, storage, and access patterns.
  • Lead ambiguous, cross-functional initiatives across data warehouse and analytics domains.
  • Mentor and elevate the technical bar for engineers with complex design decisions.
  • Collaborate with Product, Data Science, and Engineering teams to understand user needs and drive progress.

Skills

Large-scale data warehouses
Cross-functional collaboration
AI tooling for data pipelines
Data analytics

Education

Bachelor’s degree in CS/Engineering or equivalent

Tools

Spark
Trino
Flink
Airflow
Querybook
Superset
DataHub

Job description

Pinterest is seeking a Staff Software Engineer to lead data warehouse and analytics initiatives. You will shape architecture, storage patterns, and cross-functional programs across data systems to support scalable analytics at a massive scale.

You will mentor engineers, drive architectural decisions, and partner with Product, Data Science, and Engineering teams to translate business needs into robust data platforms. This role offers a national presence with flexible on-site/remote collaboration.

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