The Role
The Senior Data Engineer will design and manage data pipelines for massive datasets, ensuring quality, cost management, and effective data operations. Responsibilities include overseeing data flows, monitoring data quality, and managing vendor partnerships.
Summary Generated by Built In
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
Skills Required
- Experience with data pipelines and ETL/ELT processes
- Proficiency in Python and data orchestration tools like Dagster
- Understanding of storage and compute cost optimization
- Experience with big data technologies and data compliance
Am I A Good Fit?
Get Personalized Job Insights.
Our AI-powered fit analysis compares your resume with a job listing so you know if your skills & experience align.
Success! Refresh the page to see how your skills align with this role.
The Company
What We Do
Raylu is the AI platform for private market investors, delivering bespoke financial AI that transforms diligence, deal sourcing, and decision-making. Our platform integrates seamlessly with your systems, analyzes complex data, and enhances your team’s expertise—so you can focus only on the opportunities that matter. Trusted by leading financial institutions, Raylu delivers actionable insights faster and more accurately, empowering funds to outperform the competition. More Companies. Smarter Diligence. Bigger Wins. Visit us at raylu.ai to learn more.
.png){kind=logo}
