Senior Data Engineer

We’re hiring a Senior Data Engineer to own data at truly massive scale. You’ll design and run pipelines that clean, enrich, and serve data spanning hundreds of attributes across 80M+ companies and 800M+ people. The role blends classic data engineering with data operations, vendor/BPO orchestration, and data partnerships.

• Core stack
  :
  Python, Dagster, DuckDB, Postgres
• Pipelines at scale
  :
  Building resilient ELT/ETL with strong contracts, idempotency, and lineage.
• Data operations
  :
  Set quality bars, manage BPO workflows, and run SLAs with external data partners.
• Serving & access
  :
  Position data for production use from serving infrastructure, documentation, and SLAs for internal consumers.
• Cost & performance
  :
  You tune storage/compute and keep a sharp eye on unit economics.
• Opinionated: Deep level of understanding of the technological landscape, making both high level system and granular code design decisions based on understanding rather than preference - diving deep on unknown patterns in order to build the best product.

• Own end-to-end data flows: ingestion, normalization, entity resolution, enrichment, and delivery.
• Stand up monitoring for freshness, completeness, and accuracy; drive RCA and prevention.
• Build internal tools that make data discoverable and usable by engineering and product.
• Recruit, onboard, and manage BPO vendors; negotiate and run data partnerships.

• Experience with big data, columnar storage formats, vector indexes, and privacy/compliance in data products.

• Compensation: $165K - $230K salary, competitive equity (4 year vest)
• Location: New York City. We are a fully in-office team working out of Midtown Manhattan Monday through Friday. We allow for WFH days when anyone is traveling, but we do not allow for permanent remote work.
• Generous health, dental, and vision insurance
• 401k with 3% automatic contribution (no vesting)