Software Engineer, Core Data

At Aquatic, we are actively recruiting for a Software Engineer to join our Core Data team. Core Data owns the data systems that our research and trading depend on, from real-time market data to alternative data and reference data, and we are expanding those systems as the firm enters new markets around the world. While all team members work across our entire platform, this position seeks to expand our expertise in “market-by-order” feed handling across global markets as a key skillset.

You will partner with colleagues across Research, Engineering, and Trading Operations. The team is lean, highly autonomous, and the work is hands-on and close to the business. Your efforts will have a visible impact across the entire firm.

• 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.

• 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).

• 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