Job Overview : Data Engineer — Finance (Onsite W-2 Contract)
| 💰 Salary | $60–$85 per hour |
| 📍 Location | Onsite – San Francisco, CA / New York, NY / Bellevue, WA |
| 🏢 Company | Cincinnatus LLC (staffing partner) |
| 💼 Category | Data Engineering / Finance |
| 📋 Contract Type | W-2 Full-time (not freelance) |
| 📅 Duration | 6-month contract (with potential extension) |
| 💸 Payment | W-2 employment (payroll, benefits, compliance) |
About the role:
A fast-growing AI company’s Finance org is hiring a Data Engineer to build the data infrastructure its CFO team runs on. You’ll join a small, fast-moving team with a broad mandate: build pipelines, fix what’s broken, and do whatever it takes to keep Finance’s roadmap moving.
This is a hands-on data engineering role, not a BI, dashboarding, or reporting seat. It has no overlap with ML model training or research.
What you will do:
- Build and maintain PySpark-based data pipelines that keep Finance’s data flowing accurately and on time
- Write and optimize SQL to pull, join, and validate large volumes of financial data
- Partner with Finance and engineering stakeholders to turn ambiguous asks into working data infrastructure
- Track down and fix pipeline issues quickly, owning data quality end to end
What you need:
- 2–4 years of experience as a Data Engineer
- Hands-on experience with PySpark and large-scale/distributed data processing
- Strong SQL skills (you will be tested on this directly across two technical screens)
- Bachelor’s degree in Computer Science or a related field
- Strong written communication and comfortable working independently
- Comfortable working onsite full-time
Important notes:
- 🇺🇸 US location required – must be onsite in SF, NYC, or Bellevue
- 🏢 Onsite role – not remote
- 📋 W-2 contract – not freelance or project-based
- 🔧 PySpark & SQL heavy – technical screens will test SQL directly
- 👥 Employer of record: Cincinnatus LLC (not Mercor)
- ⏰ 6-month contract with room to extend
Why this job is worth your time:
$60-85/hour to build critical financial data infrastructure for a leading AI company, with W-2 benefits and the stability of a structured contract.