Data Engineer

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.)