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TypeSafe AI

Data Platform Engineer

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Description

You will build and own data infrastructure and internal tooling for engineering, analytics, and business use cases. You will support data ingestion, storage, transformation, access controls, analytical models, and BI workflows while improving reliability, performance, and data quality.

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 internal stakeholders to understand and support data needs

Requirements

  • Data engineering
  • Infrastructure
  • Backend systems
  • Kafka
  • ClickHouse
  • Dagster or Airflow
  • SQL
  • Data transformation
  • Permissioning
  • Business intelligence
  • Analytics

Benefits

  • Equity
  • 100% covered health insurance
  • Daily lunch and dinner
  • Visa sponsorship
  • 401K plans

Skills

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See also

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