> Markdown version of [/jobs/ext/3535226-data-engineer](https://www.wearedevelopers.com/jobs/ext/3535226-data-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Engineer - **Company:** IMC Inc - **Location:** Chicago, IL, United States - **Experience:** Experienced - **Salary:** $175,000.0 - $225,000.0 - **Contract:** Permanent contract - **Skills:** Java (Programming Language), Amazon S3, Big Data, Unix, Information Engineering, Data Integrity, Database Development, Apache Hadoop, Hadoop Distributed File System, Monitoring of Systems, Python (Programming Language), Data Ingestion, Apache Spark, Software Application Programming, Kubernetes, Apache Flink, Apache Kafka, Data Pipelines, Docker, Pagerduty, Databricks - **Published:** October 2, 2026 - **Apply:** https://www.dice.com/job-detail/c10cb9a6-1903-4b1f-aace-be7a1c598d43 ## About the Role * 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 PrometheGrafana, Alert Manager, Alerta and OpsGenie * Strong statistical analysis skills * Demonstrated ability to troubleshoot and conduct root-cause analysis * Unix scripting experience (bash, python, etc.) ## Description * 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