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# Software Engineer

- **Company:** Aquatic Co.
- **Location:** Chicago, IL, United States
- **Experience:** Experienced
- **Salary:** $150,000.0
- **Contract:** Permanent contract
- **Skills:** Airflow, C++ (Programming Language), Python (Programming Language), Reference Data, Software Engineering, Core Data, Information Technology, Data Pipelines
- **Published:** October 15, 2026
- **Apply:** https://startup.jobs/software-engineer-core-data-aquatic-capital-management-10456291

## About the Role

* BS/MS in Computer Science, Electrical Engineering, or a related technical field, or equivalent practical experience.
 * 5-10 years of professional software development experience, including 4+ years in the trading industry or hands-on experience at a market data provider.
 * Strong C++ and Python, and a track record of building production-grade systems. Rust experience is a plus.
 * Hands-on experience implementing and maintaining handlers for proprietary equities protocols such as ITCH, GTP, or PITCH.
 * Strong understanding of the information these feeds communicate: order book mechanics, trade and quote conditions, auctions, odd lots, corrections, and venue-specific behavior.
 * Experience maintaining quant-ready data archives, including normalization, gap detection, reconciliation, and backfills.
 * Helpful but not required: exposure to quantitative research needs, reference data, or modern data pipeline tooling (Dagster, Polars, or similar).

Candidate Qualities

 * Strong bias for action
 * Driven by accountability and internal urgency
 * Deep curiosity about data and the markets that produce it
 * Desire to independently seek best solutions
 * Comfortable working across teams and building alignment with stakeholders who have their own priorities
 * Comfortable providing and receiving actionable feedback in a collaborative team setting
 * Motivated by an ambitious environment and driven colleagues

## Description

* Implement and enhance market data feed handlers for proprietary equities protocols (ITCH, GTP, PITCH, and others), along with the data processes around them.
 * Build and maintain quant-ready data archives that researchers can trust for correctness, completeness, and consistency.
 * Collaborate with quantitative researchers to understand how they use our data, and optimize the presentation of our data products accordingly.
 * Support the rollout of new markets as part of the firm's global expansion, identifying market nuances and recommending sensible solutions.
 * Share expertise in market data processing tradeoffs with the broader team; identify opportunities for improvement and mentor growing teammates.
 * Participate in initiatives across the Core Data team, including reference data, universe, and non-market data.
 * Exemplify our engineering priorities: build systems you are happy to support, because they are clear, documented, and maintainable; leave systems you support a bit better for your touch.