Senior Software Engineer, Cumberland/Options Data

Description

The company is a diversified trading firm with over 30 years of experience. It trades on its own capital and at its own risk, across Fixed Income, ETFs, Equities, FX, Commodities and Energy in major global markets.

Headquartered in Chicago, with offices across the U.S., Canada, Europe and Asia, the firm has also moved into real estate, venture capital and cryptoassets.

The C/Options Data Engineering team builds valuable datasets and scalable data infrastructure for the firm's trading operations. The team works closely with traders, researchers and other engineering teams to keep data flowing smoothly and easy to access. Its systems handle large data volumes, keep quality and integrity high, and offer APIs for fast, clean data retrieval.

Responsibilities

• Work with cross-functional teams to build data solutions for a range of trading activities.
• Own data products from first concept through to stable production.
• Build and maintain batch and real-time streaming systems for time series data, keeping quality and reliability high.
• Create APIs and data access methods that make historical and live data quick and intuitive to retrieve, across new and existing systems.
• Provide on-call support when needed.

Requirements

• At least 2 years of experience with one or more of Python, Java and C++, and comfort working across several programming languages.
• A record of working directly with end customers, scoping and delivering production systems in fast-moving, unclear environments.
• Skill at digging into complex problems, building clear understanding, spotting risks early and reducing complexity.
• Strong interpersonal skills, with clear communication to stakeholders and fellow engineers and a supportive, collaborative approach.
• Experience in financial markets, particularly delta one, store of value and/or FICC options trading.
• Experience with concurrent, high-throughput, low-latency software on Linux.
• Experience with pipeline orchestration frameworks such as Airflow or Dagster.
• Experience with streaming platforms such as Kafka, data lake platforms such as Delta Lake or Apache Iceberg, and relational databases.
• A Bachelor's or advanced degree in Computer Science, Mathematics, Statistics, Physics or Engineering, or equivalent work experience.

Conditions

The annual base salary is $175,000 to $225,000, depending on experience, qualifications and relevant skills.

The role is eligible for an annual discretionary bonus.

The company is an equal-opportunity employer.

Benefits

• Comprehensive benefits including group medical, pharmacy, dental and vision insurance.
• 401k with a discretionary employer match.
• Short- and long-term disability, life and AD&D insurance, health savings accounts and flexible spending accounts.