Senior Data Engineer
NYC
- Pay
Multiple pay amounts — pay source
Logistics: Compensation: $165K - $250K salary, $100K-200K equivalent in new hire 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.
Read the full posting- Work setup
- Unconfirmed
- Employment
- Unconfirmed
What you’ll work on
Full postingWe’re hiring a Senior Data Engineer to own data at truly massive scale.
Pipelines at scale: Building resilient ELT/ETL with strong contracts, idempotency, and lineage.
You’ll design and run pipelines that clean, enrich, and serve data spanning hundreds of attributes across 80M+ companies and 800M+ people.
Own end-to-end data flows: ingestion, normalization, entity resolution, enrichment, and delivery.
Build internal tools that make data discoverable and usable by engineering and product.
From the employer’s posting
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.
Pipelines at scale: Building resilient ELT/ETL with strong contracts, idempotency, and lineage.
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
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.
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.
Tools in this posting
- Python
- Dagster
- DuckDB
Source — Tool mentions in context
What we’re looking for - Core stack: Python, Dagster, DuckDB - Pipelines at scale: Building resilient ELT/ETL with strong contracts, idempotency, and lineage.
Job description
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 - $250K salary, $100K-200K equivalent in new hire 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
Your next step
- Have your CV and examples of relevant work ready.
- Check the listed location, eligibility and core experience before starting.
Complete your application on jobs.gem.com. The employer’s form will show what is required.
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Source & posting history
Source notes
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- Pay
Logistics: Compensation: $165K - $250K salary, $100K-200K equivalent in new hire 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.
- Location & working pattern
NYC
- Compensation: $165K - $250K salary, $100K-200K equivalent in new hire 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
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.
- Status in our records
- Active
- First seen by us
- Jun 2, 2026
- Recorded sightings
- 54
- Last seen by us
- Sep 30, 2026
These dates show when we found the listing. Check the employer’s website to confirm it is still accepting applications.
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