Hedge Fund Data Engineer

Hedge Fund Data Engineer — Black Mountain Solutions
Remote / Hybrid · Full-time
About Black Mountain Solutions
Black Mountain Solutions has been building unified operating layers for a growing number of investment managers, funds, and family offices — connecting the systems our clients already run so teams can ask a real business question and get an answer with the evidence behind it, instead of losing hours to manual lookup and reconciliation.
Fund data is uniquely fragmented: positions, trades, fund structures, investor allocations, performance data, and compliance records all live across different systems, formats, and conventions — often disagreeing with each other on the same underlying number. We think the firms that solve this well will define the next decade of the industry, and we're building the infrastructure to do it.
The Role
We're looking for a Hedge Fund Data Engineer to design and maintain the data pipelines and models that sit underneath our client implementations — the plumbing that takes raw, disconnected trading, portfolio, and fund data and turns it into something reliable, structured, and ready to answer real questions.
This is a hands-on build role for someone who wants to work close to the actual mess of real-world financial data — inconsistent security identifiers, conflicting NAV calculations, fragmented reporting across prime brokers, fund administrators, and internal systems — and design the systems that bring order to it.
What you'll work on
Building and maintaining data pipelines that ingest and normalize data from trading and portfolio systems, fund administration platforms, prime broker feeds, and internal reporting tools
Designing data models that represent positions, trades, investor allocations, and fund structures accurately and can support cross-system queries
Coming up with system designs to connect fragmented data layers, so information that currently lives in silos can be queried as one coherent whole
Implementing data quality checks and conflict detection — so the platform flags stale, missing, or disagreeing figures instead of quietly picking one
Working closely with the AI engineering team to ensure the data layer supports fast, sourced, evidence-backed answers
Partnering directly with client operations, trading, and finance teams to understand how their systems and data actually work day to day, not just how they're documented
What we're looking for
Strong experience with data engineering fundamentals — ETL/ELT pipelines, data modeling, and working with both structured and unstructured data sources
Comfort working with messy, inconsistent real-world financial data from multiple systems that were never designed to talk to each other
Familiarity with investment fund data structures a plus — positions, trades, NAV calculations, capital calls and distributions, fee waterfalls — but not required if you're a fast learner with strong fundamentals
SQL fluency and experience with at least one modern data pipeline or orchestration tool
A bias toward accuracy and traceability — you'd rather flag uncertainty than paper over it
Why Black Mountain Solutions
You'll build the data foundation behind systems used for real decisions — performance reporting, investor communications, fund administration — for clients who've made clear they don't want a black box. You'll get direct exposure to how funds and investment managers actually run their businesses, technical ownership over the data layer, and a seat on a small team building something genuinely differentiated in an industry most data teams haven't taken seriously yet.

Work arrangement
Yes