Operate and maintain the Performance Team's data platform: ensure reliability, correctness, and performance of ETLs and pipelines; implement quality checks, alerting, runbooks, and automation; troubleshoot GitLab CI/CD and resource bottlenecks; continuously tune workloads for efficiency.
We are looking for a data-focused engineer with a strong operational focus to support the Performance Team's data platform at IMC. This role is responsible for the reliability, correctness, and performance of data systems that directly support performance analysis and decision-making.
The role is production-facing and works closely with the Performance team and aligned stakeholders to ensure data workflows are robust, observable, and efficient.
What you'll do:
What you bring:
Nice to Have
What Success Looks Like
The role is production-facing and works closely with the Performance team and aligned stakeholders to ensure data workflows are robust, observable, and efficient.
What you'll do:
- Own the operational health of the Performance Team's data platform
- Monitor and maintain ETLs and data pipelines for correctness, timeliness, and stability
- Design and maintain data quality checks, reports, and alerting specific to performance data
- Investigate and resolve data issues and pipeline failures, driving problems to root cause
- Own and troubleshoot GitLab CI/CD pipeline issues related to performance data workflows
- Monitor workloads and resource usage; identify and resolve imbalances and bottlenecks
- Build and maintain operational tooling, automation, and runbooks
- Continuously tune data pipelines and workloads to improve performance and resource efficiency
What you bring:
- 3+ years of experience in software engineering or data engineering with an operational or production focus
- A Bachelor's Degree in Computer Science or a related field is strongly preferred
- Proficiency in Python, with hands-on experience using PySpark and Pandas
- Experience supporting production ETL or data processing systems
- Familiarity with Git-based development workflows and CI/CD systems (GitLab preferred)
- Strong analytical skills and attention to detail
- Comfortable taking ownership in a performance- and reliability-critical environment
Nice to Have
- Experience working with performance-critical or high-throughput systems
- Exposure to workload scheduling, resource management, or cluster-based compute
What Success Looks Like
- Performance data pipelines are reliable, observable, and trusted
- Issues are detected early and resolved quickly with clear root-cause ownership
- Workloads are well-balanced and systems run efficiently
Similar Jobs at IMC Trading
.png){kind=avatar}
Fintech • Machine Learning • Software • Financial Services
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.
Top Skills:
Alert ManagerAlertaBashDatabricksDockerDremioFlinkGrafanaHadoopHdfsIcebergJavaKafkaKubernetesOpsgeniePrometheusPythonS3SparkSQL
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 NYC Tech Scene
As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.
Key Facts About NYC Tech
- Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
- Key Industries: Artificial intelligence, Fintech
- Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
- Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory
