Tech Lead, Data & Inference Engineer

Catalyst Labs
San Francisco, CA
Category Engineering
Job Description
Tech Lead, Data & Inference Engineer position at a fast moving and venture backed advertising technology startup. Develop and scale an end to end data platform, lead architectural decisions, and mentor engineers.

Requirements

  • Bachelors or Masters degree in Computer Science, Computer Engineering, Electrical Engineering, or Mathematics.
  • 6 to 12 years of experience building and scaling production-grade data systems.
  • Excellent written and verbal communication; proactive and collaborative mindset.
  • Expert SQL (query optimization on large datasets) and Python skills.
  • Hands-on experience with distributed data technologies (Spark, Flink, Kafka) and modern orchestration tools (Airflow, Dagster, Prefect).
  • Familiarity with dbt, DuckDB, and the modern data stack; experience with IaC, CI/CD, and observability.
  • Exposure to Kubernetes and cloud infrastructure (AWS, GCP, or Azure).
  • Bonus: Strong Node.js skills for faster onboarding and system integration.

Benefits

  • Above market base + bonus + equity
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