{"id":668509,"url":"https://alion.io/job/imc-trading-data-engineer","title":"Data Engineer","company":{"id":54502,"name":"IMC Trading","domain":"imc.com","url":"https://alion.io/company/imc-trading","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"B","score":83,"open_postings":47,"ghost_share":0,"stale_share":0.468,"repost_share":0,"time_to_fill_p50_days":106,"computed_at":"2026-10-17T05:46:00Z"}},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Chicago, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":175000,"max":225000,"currency":"USD","period":"year","gross":null,"usd_annual":225000},"salary_estimate":null,"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Alertmanager","optional":false},{"name":"Amazon S3","optional":false},{"name":"Apache Iceberg","optional":false},{"name":"Apache Kafka","optional":false},{"name":"Databricks","optional":false},{"name":"Docker","optional":false},{"name":"Flink","optional":false},{"name":"Grafana","optional":false},{"name":"Hadoop","optional":false},{"name":"Java","optional":false},{"name":"Kubernetes","optional":false},{"name":"Opsgenie","optional":false},{"name":"Prometheus","optional":false},{"name":"Python","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"Unix","optional":false},{"name":"Machine Learning","optional":true}],"status":"live","first_seen_at":"2025-06-10T16:30:56Z","employer_posted_date":"2026-10-07","last_verified_at":"2026-10-18T04:04:11Z","board_verified":true,"closed_at":null,"days_open":494,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":494},"description":"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.\nYour Core Responsibilities:\nArchitect, develop and deploy our Big Data environment (Kafka, Hadoop, Dremio, etc.)\nBuild, deploy, and monitor our data processing pipelines (Java, Python, Spark, Flink)\nCollaborate with development teams on data modeling, data ingestion, and capacity planning\nWork with users to ensure data integrity and availability\nAct as a Big Data SME and consult on a variety of data-related questions from users and developers\nYour Skills and Experience:\n5+ years experience working in a mature data engineering environment\n3+ years of experience building Kafka streaming applications and/or maintaining Kafka clusters\n2+ years of experience building applications/pipelines with Big Data backends (S3, HDFS, Databricks, Iceberg, etc)\nExperience with Apache Spark, Apache Flink or similar tools\nStrong Java, Python, and SQL development skills\nExperience with common data-science toolkits, especially python-based\nHands-on experience with Kubernetes and Docker\nExperience with monitoring tools such as Prometheus/Grafana, Alert Manager, Alerta and OpsGenie\nStrong statistical analysis skills\nDemonstrated ability to troubleshoot and conduct root-cause analysis\nUnix scripting experience (bash, python, etc.)\nThe Base Salary range for the role is included below. Base salary is only one component of total compensation; all full-time, permanent positions are eligible for a discretionary bonus and benefits, including paid leave and insurance. Please visit Benefits - US | IMC Trading for more comprehensive information.\nSalary Range\n$175,000—$225,000 USD\nAbout Us\nIMC is a research-driven trading firm where quantitative modeling, machine learning, and engineering shape how modern markets are traded. A stabilizing force in markets since 1989, we provide liquidity across trading venues, delivering the best outcome in value and risk management to investors. Using our own technology and capital, we build proprietary systems and algorithms that operate across global markets. 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