Data Engineer
Chicago, United States
- Pay
USD 175,000–225,000/yearAnnual period assumed — pay source
Salary Range $175,000—$225,000 USD About Us
Read the full posting- Work setting
- Not stated
- Employment
- Not stated
What you’ll work on
Full postingArchitect, develop and deploy the Big Data environment (Kafka, Hadoop, Dremio)
Build, deploy and monitor data processing pipelines (Java, Python, Spark, Flink)
Work with development teams on data modeling, ingestion and capacity planning
Ensure data integrity and availability for users
Act as Big Data subject-matter expert, consulting on data questions
From the employer’s posting
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
Tools in this posting
- Bash
- Java
- Python
- SQL
- Databricks
- Docker
- Grafana
- Hadoop
- Iceberg
- Kafka
- Kubernetes
- S3
- Spark
Source — Tool mentions in context
- 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.
- 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
- 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
- Strong Java, Python, and SQL development skills - Experience with common data-science toolkits, especially python-based - Hands-on experience with Kubernetes and Docker
- 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
- 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
- Hands-on experience with Kubernetes and Docker - Experience with monitoring tools such as Prometheus/Grafana, Alert Manager, Alerta and OpsGenie - Strong statistical analysis skills
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)
- 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)
- 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
About IMC
A stabilizing force in markets since 1989, we provide liquidity across trading venues, delivering the best outcome in value and risk management to investors.
In the employer’s words · Read in context
Posting record
Report an errorOpen 4 monthsWe first saw this posting 126 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.
- Status in our records
- Live
- First seen by us
- Jun 25, 2026 · 126 days ago
- Recorded sightings
- 122
- Last seen by us
- Oct 30, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
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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.
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.
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.
Source details
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Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
Salary Range $175,000—$225,000 USD About Us
- Location & working pattern
Chicago, United States
Working pattern and location restrictions need checking in the full posting.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.
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