Design, build, and operate big-data and streaming platforms (Kafka, Hadoop, Dremio). Develop, deploy, and monitor data pipelines using Java, Python, Spark/Flink; collaborate on data modeling and ingestion, ensure data integrity and availability, act as a Big Data SME, and perform root-cause analysis.
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
Skills and Experience:
#LI-DNP
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.)
#LI-DNP
Similar Jobs at IMC Trading
.png){kind=avatar}
Fintech • Machine Learning • Software • Financial Services
The Data Center Engineer will manage physical servers and network hardware, ensuring their installation, maintenance, and troubleshooting, along with overseeing documentation and vendor coordination.
Top Skills:
BashFiber OpticsLinuxNetwork CablingNetwork DevicesPythonServer HardwareStorage Systems
Fintech • Machine Learning • Software • Financial Services
Design and verify next-generation ASICs for latency-sensitive trading systems. Responsibilities include RTL development in SystemVerilog, verification and testing, debugging, integration, tooling and automation, and cross-team collaboration to meet performance and reliability goals.
Top Skills:
AsicBashC++Clock-Domain CrossingDebugging ToolsEthernetFpgaPmaPythonRtlSystemverilogUnit TestingVerification Frameworks
Fintech • Machine Learning • Software • Financial Services
Perform hands-on electronics lab work: validate and bring up circuit boards and ASICs, operate and maintain test equipment and fixtures, manage inventory and lab infrastructure, support manufacturing coordination, assembly, shipping, and documentation to enable hardware production and deployment.
Top Skills:
3D PrinterMultimeterOscilloscopePcb/Circuit BoardsSolderingTest EquipmentTest Fixtures
What you need to know about the Toronto Tech Scene
Although home to some of the biggest names in tech, including Google, Microsoft and Amazon, Toronto has established itself as one of the largest startup ecosystems in the world. And with over 2,000 startups — more than 30 percent of the country's total startups — Toronto continues to attract new businesses. Be it helping entrepreneurs manage their finances, simplifying business operations by automating payroll or assisting pharmaceutical companies in launching new drugs, the city's tech scene is just getting started.
