Data Engineer

Objective Partners; Chicago (IL); Sur place; USD 150 000 - 200 000; Plein temps

Avantages offerts par ce poste

Medical insurance

Dental insurance

Vision insurance

401(k) match

Disability insurance

Flexible spending accounts

Résumé du poste

Objective Partners in Chicago is seeking a Data Engineer for Quantitative Trading Systems to build scalable data pipelines and maintain high-integrity datasets powering our options and delta-one trading operations. You will collaborate with researchers to annotate AI-ready data and ensure seamless access to massive market data volumes.

The role emphasizes robust data ingestion, automated quality controls, and APIs for fast data retrieval in a high-paced trading environment.

Qualifications

• At least 3 years of hands-on experience building and managing complex data pipelines in a fast-paced environment.
• Deep expertise in the Python data science ecosystem and modern data engineering tools.
• Thorough understanding of financial derivatives, specifically options and futures, and their data requirements.
• Strong mastery of financial time-series and point-in-time data analysis.
• Proven ability to engineer automated quality control frameworks for large-scale financial datasets.

Responsabilités

• Pipeline Architecture: Design, implement, and oversee robust data ingestion pipelines.
• Dataset Curation: Transform and manage core trading data for high-performance research and live execution.
• Quality Assurance: Develop and maintain data control processes to identify gaps and latencies in real-time.
• Research Collaboration: Partner with researchers to integrate concepts into historical data structures and AI-ready annotations.
• System Reliability: Integrate monitoring and alerting to ensure health and observability of the data ecosystem.

Connaissances

Python

Data pipelines

Data engineering

Financial time-series

Data quality frameworks

Research collaboration

API development

Market data

Outils

APIs

Description du poste

Data Engineer - Quantitative Trading Systems

Location: Chicago, IL (Preferred) or New York, NY

About 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.

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