Data Engineer at IMC Trading in Chicago

Summary: IMC is a global trading firm powered by a cutting-edge research environment and a world-class technology backbone. They are seeking a Data Engineer to build and administer data workflows, develop data solutions, and improve financial analytics platforms in a modern big data environment. Responsibilities: - The Data Engineer builds and administers data workflows in IMC’s evolving, modern big data environment - Develop and extend in-house data toolkits based in Python and Java - Build data pipelines using big data tools including Hadoop, Kafka, Spark, and AWS - Work with our trading and research teams to develop data solutions - Assist in identifying solutions that match the problem space and harmonize with our internal data platform - Improve the performance of financial analytics platforms built around the big data ecosystem Required Qualifications: - Bachelor's degree, or foreign equivalent, in computer science or engineering, information technology, or similarly quantitative technology field - six (6) months of experience in the job offered or a related occupation - six (6) months experience in data engineering, systems engineering, or similar in a high-throughput, big data ecosystem - Building and administering data workflows using Hadoop, Spark, and SQL, including troubleshooting and root-cause analysis - Developing streaming data applications using Kafka - Developing and extending data solutions in containerized environments (Docker or Kubernetes) using Java, Python, or common data-science toolkits - Unix scripting (Bash, tcsh, zsh, and Python) Required Skills: Data Engineering, Systems Engineering, Big Data Ecosystem, Hadoop, Spark, SQL, Kafka, Containerization, Docker, Kubernetes, Java, Python, Unix Scripting Benefits: Discretionary bonus, Paid leave, Insurance