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Data Platform Engineer

TypeSafe AI· Engineering
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San Francisco Office$210k - $285kFull-timePosted 5d ago

About the role

You’ll build and own the data infrastructure and internal tooling that support engineering, analytics, and business teams, spanning ingestion, storage, transformations, and access controls to make data reliable and easy to use.

Responsibilities

  • Build and maintain data pipelines, infrastructure, and internal tools
  • Support data transformations, analytical models, and BI workflows
  • Manage data access and permissioning
  • Improve reliability, performance, and data quality
  • Work with teams across the company to understand and support their data needs

Qualifications

  • Have experience in data engineering, infrastructure, or backend systems
  • Are familiar with Kafka, ClickHouse, a data orchestrator such as Dagster or Airflow, and similar technologies
  • Are comfortable with SQL, data transformations, and permissioning
  • Understand how data infrastructure supports BI and analytics
  • Take ownership, collaborate well, and adapt to changing requirements
  • Are excited about our mission and working on a small team

Skills

Required:Data engineeringKafkaClickHouseDagster or AirflowSQLData access controlBI/Analytics

Benefits

  • 100% covered health insurance
  • Daily lunch and dinner
  • Visa sponsorships
  • 401K plans
Last updated Oct 20, 2026. Interested? Apply on the company site.

About TypeSafe AI

TypeSafe AI is an AI lab building machine-native intelligence infrastructure for automation, designed to make decisions within software. Try our first System One Model, Jev, in early access.

System One ModelsJevRLCDReinforcement Learning for Calibrated Decisionscalibrated decisionLLMsTypeSafe AI
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