Data Engineer
Data Engineer | Columbus, OH | Hybrid$150,000 to $200,000 + benefits Be one of the first engineers in a brand-new Columbus office, building data platforms for banking and private capital clients. My client is a fast-growing technology consultancy backed by major names in global consulting and finance. In just a couple of years they’ve grown to offices across three continents, delivering data, AI and software solutions to clients in complex, high-stakes environments. They’re building a team here from the ground up, with dozens of positions opening over the next few years. Join now and you’ll help shape how the team works, what it builds and who joins next. You’ll sit close to clients, solve problems tied to financial markets and world events, and work alongside data scientists, AI engineers and quants who are among the best in their fields. Before you applyUS citizens only. Visa sponsorship is not available. Degree in Computer Science or a quantitative field from a top-ranked university, with a minimum 3.3 GPA.
What you’ll do:
- Design and build data pipelines that pull from internal and external sources into client data platforms
- Keep data reliable, available and high quality so clients can make better decisions
- Work directly with data scientists, consultants and clients to make data easier to access and use
- Bring in new tools and methods to improve how data is handled
- What you'll bring3 to 6 years as a data engineer or similar
- Strong Python and SQL, with clean, performant code for large data volumes
- Experience building data-intensive applications and pipelines, with an open mind on tooling
- Some or all of: Spark, Databricks, Airflow, AWS, Azure or GCPModern engineering practices: version control, CI/CD, infrastructure as code
- A track record of testing, troubleshooting and improving data quality
- Financial services, risk management or consulting experience (a plus)
- Apply below or message me directly.