Equities Data Engineer

DRW; New York, Chicago (NY, IL); On-site; USD 120,000 - 150,000; Full time

Job summary

DRW is looking for an Equities Data Engineer to join the MASS trading team in New York. This role focuses on onboarding, transforming, and managing diverse financial datasets.

You will collaborate with traders and quantitative developers to analyze trading data and develop alpha-driven strategies.

The ideal candidate has over five years of experience designing ingestion pipelines and processing financial market data in an agile environment.

Qualifications

• Over five years of demonstrated experience designing ingestion pipelines.
• Familiarity with equities, equity indices, futures, or delta one trading data preferred.
• Experience processing real-time and batch financial market data.
• Proven ability to work in an agile, fast-paced environment and handle trading environment demands.
• Strong understanding of financial point-in-time and time-series data and analysis.
• Proven expertise in developing data quality control processes to detect gaps or inaccuracies.

Responsibilities

• Partner with traders, researchers, and analysts to deliver structured data for trading strategies.
• Build and maintain resilient data pipelines for batch and streaming data.
• Develop tools for monitoring pipeline performance and reliability.
• Optimize data storage and processing across environments.
• Enforce data governance and security standards.
• Implement frameworks for data quality and consistency.
• Maintain correctness of datasets for research and trading.

Skills

Data ingestion pipeline design

Equity and futures data processing

Agile environment capabilities

Financial time-series analysis

Data quality control processes

Job description

DRW is a diversified trading firm with over 3 decades of experience bringing sophisticated technology and exceptional people together to operate in markets around the world.

Headquartered in Chicago with offices throughout the U.S., Canada, Europe, and Asia, we trade a variety of asset classes including Fixed Income, ETFs, Equities, FX, Commodities and Energy across all major global markets. We have also leveraged our expertise and technology to expand into three non‑traditional strategies: real estate, venture capital and cryptoassets.

We operate with respect, curiosity and open minds. The people who thrive here share our belief that it’s not just what we do that matters–it's how we do it. DRW is a place of high expectations, integrity, innovation and a willingness to challenge consensus.

We are seeking an Equities Data Engineer to join the MASS (Multi‑asset Systematic Strategies) trading team. In this role, you will be responsible for onboarding, transforming, and managing diverse financial datasets. You will collaborate closely with traders, researchers, and quantitative developers to analyze equity and futures data, identify alphas, and develop global delta‑one trading strategies.

Key Responsibilities

• Partner with traders, researchers, and analysts to deliver well‑structured data that powers trading strategies, predictive models, and AI/ML applications.
• Build, automate, and maintain resilient pipelines for cleaning, validating, and transforming batch and streaming data that feed into medallion architectures.
• Develop observability, monitoring, and alerting tools to provide complete visibility into pipeline reliability and performance.
• Optimize tiered data storage and elastic processing across on‑prem, cloud, and hybrid environments to ensure scalable and cost‑effective solutions.
• Enforce data governance, controls, and security standards to preserve confidentiality and operational integrity.
• Implement data quality frameworks (validation, reconciliation, anomaly detection) to detect gaps, staleness, and corporate action/market data inconsistencies.
• Maintain point‑in‑time correctness across datasets used for research and live trading; ensure reproducibility of signals and backtests.
• Collaborate with platform/infrastructure teams to productionize pipelines, improve runtime efficiency, and meet latency and availability requirements.

Qualifications

• Over five years of demonstrated experience designing ingestion pipelines.
• Familiarity with equities, equity indices, futures, or delta one trading data preferred.
• Experience processing real‑time and batch financial market data.
• Proven ability to work in an agile, fast‑paced environment and handle trading environment demands.
• Strong understanding of financial point‑in‑time and time‑series data and analysis.
• Proven expertise in developing data quality control processes to detect gaps or inaccuracies.