IMC Trading

Proprietary trading using quantitative strategies

Data Engineer

Data EngineeringConfirmed live in the last 24 hours

Full-timeChicago, IL, USAIn-person

About the Job

Requirements

At least 5 years of experience working in a mature data engineering environment.
At least 3 years of experience building Kafka streaming applications and/or maintaining Kafka clusters.
At least 2 years of experience building applications or pipelines with Big Data backends such as S3, HDFS, Databricks, or Iceberg.
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 toolkits.
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, including bash and Python.

Responsibilities

Architect, develop, and deploy the Big Data environment, including Kafka, Hadoop, and Dremio.
Build, deploy, and monitor data processing pipelines using Java, Python, Spark, and 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 subject matter expert and consult on data-related questions from users and developers.

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.

Salary Range 175000 - 225000 USD

About the Company

IMC Trading

Proprietary trading using quantitative strategies

IMC Trading is a global proprietary trading firm that uses technology and quantitative strategies to trade financial instruments such as stocks, options, and futures with its own capital. It operates in major markets (Amsterdam, Chicago, Sydney) and serves a diverse client base including institutional investors and individual traders. The company identifies market inefficiencies through advanced algorithms and data analytics, with teams of mathematicians, technologists, and traders who continuously improve strategies and build in-house solutions. Unlike firms that manage external funds, IMC trades for its own balance sheet, aiming to earn profits by executing high-frequency and systematic trades across global markets. Its approach centers on a culture of curiosity, continuous improvement, and collaboration, aiming to optimize markets while fostering an inclusive environment where employees can contribute meaningfully.

Company size: 1,001-5,000
Company stage: Not listed
Total funding: Not listed
Headquarters: Amsterdam, Netherlands
Founded: 1989

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