Lead Data Engineer
Chicagoonsitesenior
via Greenhouse
About this role
Optiver Chicago is seeking a seasoned Data Engineer to support and advance the data capabilities of our local research team and contribute to our broader Lakehouse architecture vision. In this role, you'll work with cutting-edge tools like Databricks, Apache Spark, and Delta Lake, translating experimental research workflows into scalable, production-grade systems.
As a critical engineering presence in Chicago, you'll directly influence local data strategy while collaborating with our Global Research and Data Platform teams. Your work will drive real-time insights, enable predictive analytics, and power decision-making across the trading lifecycle.…
What we'd score you on
reqspace match rubricFive dimensions, recruiter-grade. Upload your resume and we'll generate a written explanation of where you fit and where the gaps are.
1
Skills match
For this role: python, rust, c++, postgresql, databricks…
2
Level fit
This role is senior-level. We check your trajectory against it.
3
Domain experience
Your work in the role's domain matters more than your years total. We weight recent and direct experience.
4
Recency
A skill you used last quarter weighs more than one from five years ago. We grade on recency, not lifetime.
5
Location fit
This role is based in Chicago. We weight your proximity and willingness to relocate.
Score yourself on this role.
Free · no card · written explanation included
Skills in this role
Pulled from the job description. These are the keywords we'll weight when scoring your fit.
pythonrustc++postgresqldatabricksawssparkkafkamlflow
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