Senior Data Engineer
About The Position
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 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.
Requirements
- Python
- Dagster
- DuckDB
- Building resilient ELT/ETL with strong contracts, idempotency, and lineage.
- Set quality bars, manage BPO workflows, and run SLAs with external data partners.
- Position data for production use from serving infrastructure, documentation, and SLAs for internal consumers.
- Tune storage/compute and keep a sharp eye on unit economics.
- 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.
Nice To Haves
- Experience with big data, columnar storage formats, vector indexes, and privacy/compliance in data products.
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.
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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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
