Role Overview
IMC Trading is hiring a mid-level Data Engineer. This is a full-time role in Chicago. Part of IMC Trading's Data Engineering hiring, posted 3 weeks ago. Full responsibilities, required qualifications, and the apply link are listed in the description below.
Salary Context
Salary is not disclosed in this posting. Market median for Mid-level Data Engineering roles is $110k-$140k (based on 15 comparable listings). Many employers share specifics during the interview process or after an initial screen.
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Job description
We are seeking a dedicated and experienced Data Engineer to join our Chicago team. The ideal candidate is energized by working in a cutting-edge environment that enables IMC to continue to be at the forefront of the evolving global financial markets.
Core Responsibilities
- Architect, develop and deploy our Big Data environment (Kafka, Hadoop, Dremio, etc.)
- Build, deploy, and monitor our data processing pipelines (Java, Python, Spark, Flink)
- Collaborate with development teams on data modeling, data ingestion, and capacity planning
- Work with users to ensure data integrity and availability
- Act as a Big Data SME and consult on a variety of data-related questions from users and developers
Skills and Experience:
- 5+ years experience working in a mature data engineering environment
- 3+ years of experience building Kafka streaming applications and/or maintaining Kafka clusters
- 2+ years of experience building applications/pipelines with Big Data backends (S3, HDFS, Databricks, Iceberg, etc)
- Experience with Apache Spark, Apache Flink or similar tools
- Strong Java, Python, and SQL development skills
- Experience with common data-science toolkits, especially python-based
- Hands-on experience with Kubernetes and Docker
- Experience with monitoring tools such as Prometheus/Grafana, Alert Manager, Alerta and OpsGenie
- Strong statistical analysis skills
- Demonstrated ability to troubleshoot and conduct root-cause analysis
- Unix scripting experience (bash, python, etc.)
#LI-DNP
The Base Salary range for the role is included below. Base salary is only one component of total compensation; all full-time, permanent positions are eligible for a discretionary bonus and benefits, including paid leave and insurance. Please visit Benefits - US | IMC Trading for more comprehensive information.
About Us
IMC is a global trading firm powered by a cutting-edge research environment and a world-class technology backbone. Since 1989, we’ve been a stabilizing force in financial markets, providing essential liquidity upon which market participants depend. Across our offices in the US, Europe, Asia Pacific, and India, our talented quant researchers, engineers, traders, and business operations professionals are united by our uniquely collaborative, high-performance culture, and our commitment to giving back. From entering dynamic new markets to embracing disruptive technologies, and from developing an innovative research environment to diversifying our trading strategies, we dare to continuously innovate and collaborate to succeed.
About IMC Trading
IMC Trading
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Frequently Asked Questions
How do I apply for the Data Engineer position at IMC Trading?
Use the Apply button above to submit your application directly to IMC Trading. Most applications take less than 5 minutes if your resume and contact details are ready, and you'll be routed to the employer's official application system to finish.
Where is the Data Engineer position at IMC Trading located?
This position is based in Chicago. IMC Trading has not indicated remote or hybrid options for this role, so candidates should plan for on-site work.
What does a Data Engineer at IMC Trading earn?
IMC Trading has not disclosed a salary range in this posting. Many employers share specifics later in the interview process; you can also ask during a recruiter screen if compensation transparency is important to you.
When was the Data Engineer role at IMC Trading posted?
This role was posted on June 26, 2026 (26 days ago). It's still listed as actively hiring; we re-confirm openings against the source system multiple times per day and remove closed roles.
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