Data Engineer - Cumberland​/FICCO

Reference: 25538

Location:

Chicago, IL, United States Industry: Trading Firm Posted:
Contact:
Ethan Hudson Email: ehudson

Phone:
Data Engineer - Quantitative Trading Systems

Location:

Chicago, IL (Preferred) or New York, NYAbout the Opportunity We are seeking a high-caliber Data Engineer to join a premier global proprietary trading firm. This is a critical role within a specialized team focused on developing the scalable infrastructure and high-integrity datasets that power our options and delta-one trading operations. You will work at the intersection of technology and finance, ensuring our researchers and traders have seamless, ergonomic access to the massive data volumes required for sophisticated market decision-making.

Responsibilities Pipeline Architecture:
Design, implement, and oversee robust data ingestion pipelines to onboard both vendor-supplied and internally generated datasets.

Dataset Curation:
Transform and manage core trading data, ensuring it is optimized for high-performance research and live execution.

Quality Assurance:
Develop and maintain sophisticated data control processes to identify and rectify gaps, inaccuracies, or latencies in real-time.

Research

Collaboration:

Partner with quantitative researchers to integrate novel concepts into historical data structures and apply AI-ready annotations to diverse data streams.

System Reliability:
Integrate comprehensive monitoring and alerting systems to ensure the continuous health and observability of the data ecosystem.

Requirements (must-have)
Professional

Experience:

At least 3 years of hands-on experience building and managing complex data pipelines in a fast-paced environment.

Technical Proficiency:
Deep expertise in the Python data science ecosystem and modern data engineering tools.

Market Knowledge: A thorough understanding of financial derivatives, specifically options and futures, and their unique data requirements.

Data Analysis:
Strong mastery of financial time-series and point-in-time data analysis.

Data Quality:
Proven ability to engineer automated quality control frameworks for large-scale financial datasets.

Preferred Qualifications (nice-to-have)
Industry Context:
Familiarity with the global financial data vendor landscape and various product offerings.

Agility:
Demonstrated success working in high-pressure trading environments where requirements can pivot quickly.

Advanced

Infrastructure: Experience developing robust APIs for streamlined data retrieval.

Compensation & Benefits Base Salary: $150,000 – $200,000 (commensurate with experience and skill set).Bonus:
Eligible for an annual discretionary performance bonus.

Benefits:
Comprehensive package including medical, dental, vision, 401(k) with employer match, disability, and flexible spending accounts.

We are an equal opportunity employer and value diversity at our company. We do not discriminate based on race, religion, color, ethnic origin, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

OP Recruiting, a member of the Objective Partners family of specialized talent solution providers, uses AI-assisted tools, including Alex by Apriora, to support our recruiting process. These tools may review application materials and analyze interview responses to provide insights about a candidate's experience and qualifications. AI output informs our recruiters; decisions about whether to advance or present a candidate are made by people.

Learn more about our use of AI, including how to request an accommodation: .#LI-EH1