• 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.

• 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; and
• Unix scripting (Bash, tcsh, zsh, and Python).

Salary Range