Senior Data Engineer

Position Summary 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.   What we’re looking for Core stack : Python, Dagster, DuckDB 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. Responsibilities 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. Nice to have Experience with big data, columnar storage formats, vector indexes, and privacy/compliance in data products.   Logistics : 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. Benefits : Generous health, dental, and vision insurance 401k with 3% automatic contribution (no vesting) Paid Lunches Wellness and Citi Bike benefit Unlimited PTO

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