Data Engineer

CBSbutler; Kentucky; On-site; USD 120,000 - 150,000; Full time

Benefits offered by this job

Referral fees

Job summary

CBSbutler is assisting a leading US fintech joint venture to recruit a data engineer for the founding Data Engineering team in Ohio. The role focuses on building the data backbone powering large-scale data processing, ML and AI initiatives from day one.

You will work on Databricks-driven pipelines, modern data stack components, and scalable data architecture while collaborating with finance and tech specialists in a fast-paced environment. This is a full-time on-site position.

Qualifications

• At least 8 years of commercial experience in data engineering.
• Hands-on Databricks experience is essential.
• Strong skills across the modern data stack for ETL/ELT, distributed processing, cloud data platforms, and high-throughput data modelling.
• Ability to translate messy data problems into clean, scalable production solutions.

Responsibilities

• You'll be building the data backbone that powers large scale data processing, ML, AI, and analytics across the business.
• Architect pipelines and platforms that are fast, resilient, and scalable from day one.

Skills

Databricks

Data pipelines

Data modelling

Cloud platforms

Distributed processing

Tools

Databricks

Spark

Python

SQL

Airflow

Job description

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