Senior Data Engineer
Senior Data Engineer | New York City
A top-tier global HFT trading firm is seeking a Senior Data Engineer to join its elite Global Data Engineering team. They are specifically building a sub-team from ground up specializing in credit space - this is a rare greenfield opportunity to architect and scale the data infrastructure that will power one of the firm's most strategic trading desks.
This is a high-impact opportunity to work directly with senior leadership to define data strategy, data modeling, and solve complex challenges in real-time data ingestion, modeling, and delivery. This is a high-impact, high-visibility role for someone who thrives in fast-paced, collaborative environments and brings deep experience from the financial sector.
Why This Role Is Unique
- Greenfield Build: Join at the ground level of a new team where you'll influence architecture, tooling, and best practices from day one.
- Strategic Impact: Work side-by-side with traders and leadership to define how data drives credit trading decisions.
- Elite Team: Be part of a small, high-caliber group (6-7 engineers) with a mandate to move fast and build smart.
What You'll Do
- Architect and implement robust ETL/ELT pipelines for both batch and streaming data workflows.
- Build subsecond-latency data ingestion systems and scalable APIs that serve real-time trading and research needs.
- Model and normalize complex financial datasets, ensuring data is clean, structured, and production-ready.
- Design metadata and data lineage systems to track the origin and transformation of every data point.
- Collaborate with traders, researchers, and engineers to understand evolving data needs and deliver scalable solutions.
- Contribute to the architecture of a global data platform that supports increasingly data-intensive strategies.
What You'll Gain
- A chance to build something from scratch with the backing of a globally respected trading firm.
- A collaborative, high-performance culture that values curiosity, creativity, and continuous improvement.
- Access to world-class tools, infrastructure, and mentorship.
- Comprehensive benefits including:
- Global profit-sharing and performance-based bonuses
- 401(k) with up to 50% match
- Full health, dental, vision, mental health, and life insurance
- 25 paid vacation days plus market holidays
- On-site perks like meals, snacks, social events, and more
Who You Are
- 7+ years of experience as a Data Engineer or Software Engineer in a financial services environment (required)
- Strong Python skills with libraries like Pandas, Arrow, and Spark
- Experience with lakehouse architectures (e.g., Delta Lake, Databricks, AWS)
- Familiarity with real-time and historical market data (Credit, ETFs, Equities) is a plus
- Deep understanding of data modeling, API design, and distributed systems
- Strong communication skills and a collaborative mindset
- Able to join within the next 3-4 months
Top-Tier Compensation: base: $150,000 - 200,000 and total package up to $600,000.
FAQs
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