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Data Engineer

Job in Florence, Boone County, Kentucky, 41022, USA
Listing for: CBSbutler
Full Time position
Listed on 2026-10-01
Job specializations:
  • IT/Tech
    Data Engineering, AI Engineer (Applied/Software)
Salary/Wage Range or Industry Benchmark: 120000 - 150000 USD Yearly USD 120000.00 150000.00 YEAR
Job Description & How to Apply Below

We're working on one of the most exciting opportunities in the US fintech space right now. It's a joint venture between a global tier 1 consulting powerhouse (think EY, PwC, Deloitte) and one of the world's top performing hedge funds.

They teamed up to build a high performance quantitative technology operation in Ohio, and we're hiring into the founding Data Engineering team.

Importantly, you don't need a finance or quant background to be considered.

What they're really looking for is an exceptional Data Engineer who enjoys solving complex problems, working with large and challenging datasets, and building sophisticated data and AI solutions from the ground up.

We do pay referral fees for successful referrals!

What you'll bring:
  • You will have at least 8 years of commercial experience in data engineering, building scalable data platforms, pipelines, distributed processing and data architecture
  • Hands on Databricks experience is essential
  • Strong skills across the modern data stack - think large scale ETL/ELT, distributed processing frameworks, cloud data platforms, and data modelling for high throughput environments
  • Comfort operating in a fast-paced, high ownership environment where you're building foundational infrastructure rather than maintaining someone else's
  • A track record of translating messy, complex data problems into clean, scalable, production grade solutions
The work:

You'll be building the data backbone that powers large scale data processing, machine learning, AI, and quantitative analytics across the business - architecting pipelines and platforms that need to be fast, resilient, and built to scale from day one.

Why I think it could be interesting:
  • Founding team position with significant technical ownership over the data platform from the ground up
  • Work on genuinely challenging greenfield data and AI problems, with real datasets at real scale
  • Build technology with real world impact across global financial markets
  • Full-time, on site in Ohio, join at the ground floor of a brand new tech hub
  • Work alongside exceptionally strong engineers, data scientists and financial/quant specialists on greenfield projects
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