Pay: USD 175,000–225,000/yearAnnual period assumed — pay source
Salary Range $175,000—$225,000 USD About Us
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Work setup: Unconfirmed
Employment: Unconfirmed

Tools in this posting

Bash
Java
Python
SQL
Databricks
Hadoop
Iceberg
Kafka
Kubernetes
S3
Spark
Docker
Grafana

Source

- 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

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)

- 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

- 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

- Hands-on experience with Kubernetes and Docker - Experience with monitoring tools such as Prometheus/Grafana, Alert Manager, Alerta and OpsGenie - Strong statistical analysis 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

Job description

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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.