IMC Trading

IMC Trading

Posted via Greenhouse

Data Engineer

Posted Sep 3, 2026

Role at a glance

Salary
Not yet verified Check the description for pay details; an amount or pay period has not been verified.
Location
Chicago, United States
Work arrangement
On-site
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

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Role Summary

AI-generated

The Data Engineer will architect, develop, and deploy a Big Data environment and build, deploy, and monitor data-processing pipelines. The role also supports data modeling, ingestion, capacity planning, data integrity, and user and developer questions.

What You'll Do

  • Architect, develop, and deploy the Big Data environment.
  • Build, deploy, and monitor data-processing pipelines.
  • Collaborate with development teams on data modeling, data ingestion, and capacity planning.
  • Work with users to ensure data integrity and availability.
  • Consult with users and developers on data-related questions as a Big Data subject matter expert.

Generated from the employer's posting. Verify important details before applying.

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Qualifications

The posting lists 5+ years in a mature data engineering environment, 3+ years building Kafka streaming applications and/or maintaining Kafka clusters, and 2+ years building applications or pipelines with Big Data backends. It also lists experience with Spark, Flink or similar tools; strong Java, Python, and SQL skills; Python-based data-science toolkits; Kubernetes and Docker; monitoring tools including Prometheus/Grafana, Alert Manager, Alerta, and OpsGenie; statistical analysis, troubleshooting and root-cause analysis; and Unix scripting.

Original job description

Content provided by the employer
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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.

Your 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

Your 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.)

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.

Salary Range
$175,000—$225,000 USD

About Us

IMC is a research-driven trading firm where quantitative modeling, machine learning, and engineering shape how modern markets are traded. A stabilizing force in markets since 1989, we provide liquidity across trading venues, delivering the best outcome in value and risk management to investors. Using our own technology and capital, we build proprietary systems and algorithms that operate across global markets. Our researchers, traders, and engineers work as a collective, combining rapid experimentation, advanced infrastructure, and real-time feedback to turn insight into execution and execution into advantage.

 

IMC Trading

About the company

IMC Trading

Large Enterprise

IMC Trading is a global proprietary trading firm that leverages technology and quantitative research to optimize trading strategies across a variety of asset classes, including equities, commodities, and derivatives. Founded in 1989 and headquartered in Amsterdam, IMC operates with a commitment to innovation and collaboration, fostering an environment where talented professionals can thrive. The firm is dedicated to responsible trading practices and actively engages in market-making to ensure liquidity and efficiency in financial markets worldwide. With a focus on continuous improvement and data-driven decision-making, IMC Trading is a leader in the fast-paced world of trading and investment.

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