Tech Lead, Data & Inference Engineer

Catalyst Labs
San Francisco, IL
Category Engineering
Job Description
Our Client is a fast moving and venture backed advertising technology startup based in San Francisco. Catalyst Labs is a leading talent agency with a specialized vertical in Applied AI, Machine Learning, and Data Science. We are seeking a Tech Lead, Data & Inference Engineer to lead the design, development and scaling of an end to end data platform from ingestion to insights.

Requirements

  • Bachelors or Masters degree in Computer Science, Computer Engineering, Electrical Engineering, or Mathematics.
  • Excellent written and verbal communication; proactive and collaborative mindset.
  • 6 to 12 years of experience building and scaling production-grade data systems, with deep expertise in data architecture, modeling, and pipeline design.
  • 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.
  • Previous experience at a high-growth startup (10 to 200 people) or early-stage environment with a strong product mindset.

Benefits

  • Above market base + bonus + equity
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