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

Mondrian Alpha; New York (NY); On-site; USD 130,000 - 180,000; Full time

Job summary

Mondrian Alpha in New York is seeking an early data engineering hire to shape a greenfield data function within a lean, high-performing hedge fund. You will work directly with the lead, crafting architecture and tooling decisions from scratch, rather than following a pre-defined backlog.

Expect significant autonomy in a small, high-trust team, building ETL pipelines and internal APIs that scale with the business. This is a foundational role with real input into data infrastructure decisions.

Qualifications

• 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
• Strong SQL (comfortable well beyond basic joins and indexing)
• Genuinely autonomous and opinionated, comfortable pushing back and thinking through problems out loud

Responsibilities

• 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

Skills

Python

SQL

ETL pipelines

Data APIs

Autonomy

Job description

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.

The Role

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

What We're Looking For

• 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