Data Engineer / SWE - Hedge Fund - Data Platform - NY - 225k+ TC

Mondrian Alpha
Hoboken, NJ, United States
9 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
2 years minimum
Working hours
Regular working hours

Tech stack

Application Programming Interfaces (APIs) Information Engineering Data Infrastructure Extract Transform Load (ETL) Python (Programming Language) Standard Sql Systems Integration Indexer

Job description

You’ll work directly alongside the person leading this rebuild as their first engineering hire on the data side, effectively a left-hand engineer helping build the function from scratch rather than joining an established team. This is a greenfield opportunity: expect to have real input into architecture and tooling decisions rather than executing a pre-defined backlog. You’ll need to be comfortable operating with a lot of autonomy and thinking out loud through problems rather than just picking up tickets.

What You’ll Be Doing:

  • Help design and build a new data function from the ground up, working closely with the team lead
  • Own technical decisions around data infrastructure, tooling, and architecture as the function scales
  • Be a genuine thought partner, someone the lead can bounce ideas off of, not just execute assigned tasks
  • Operate with significant autonomy in a small, high-trust team

Requirements

  • 2-7 years of software/data engineering experience
  • Strong Python, ideally applied to building ETL pipelines, onboarding and integrating vendor data feeds, and building internal tooling/APIs that other teams rely on, not just scripting one-off analysis
  • Strong SQL (comfortable well beyond basic joins and indexing)
  • Genuinely autonomous and opinionated, comfortable pushing back and thinking through problems out loud rather than just taking direction

About the company

We’re partnering with an established systematic hedge fund in New York, running a lean, high-performing team relative to its AUM. The firm is rebuilding its data function from the ground up and looking for an early, foundational hire to help shape it.

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