Data Engineering Manager

Chicago Officefull timeOn Sitesenior$180k–$250kH1B: no

Genevatrading Data Engineering Manager at Geneva Trading responsible for owning market data platforms and analytical data systems. Ensures market data is captured, normalized, stored, and delivered correctly across multiple venues and consumers.

Responsibilities

We are looking for a Data Engineering Manager to own our market data platforms and analytical data systems.
This is not a pure people-management role. You will manage a small team, but you will also be expected to write production code, review designs, debug systems, and stay close to the technical details. We are looking for someone who still wants to build and who can lead by being in the work with the team.
The core responsibility is to make sure our market data is captured, normalized, stored, and delivered correctly. The challenge is doing that across multiple venues, data sources, protocols, consumers, and performance requirements.
Trading systems, researchers, analysts, and monitoring tools all depend on this data. The person in this role needs to understand that reliability, correctness, and recoverability matter as much as speed.
The way we use data is changing.
Historically, our market data platforms were built mainly for two types of consumers: trading systems that need fast and reliable access, and people doing research or analysis. We now have a third type of consumer emerging: AI-driven tools, models, and agents.
That changes some of the requirements. These systems need clean structure, good metadata, lineage, context, and access patterns that are not always the same as a human writing a query. They may search across data differently, ask questions differently, and generate query volumes that are very different from normal human usage.

Qualification

Strong KDB+/Q experienceStrong production Python experienceStrong understanding of multicastAble to own production issues directlyBackground in high-frequency tradingReports to the CTOBased in Chicago

Required

At least 7 years of experience in data engineering, market data infrastructure, or a closely related area
Current hands-on production coding experience
At least 3 years leading engineers while staying technically involved