Data Engineer - Tier 1 Multi Strat Hedge Fund
Job Description
About the Role
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This role owns the data infrastructure that investment/research/trading decisions run on, not a downstream reporting function, but the system of record everything else is built on top of. This is a green-field opportunity to design the platform’s architecture, not inherit and patch someone else’s.
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What You’ll Do
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- Design and build the core data architecture: ingestion, transformation, storage, and serving layers, from scratch or near-scratch
- Build pipelines that are correct under edge cases, not just under the happy path
- Set the technical standards other engineers will build against as the team grows
- Partner directly with the people consuming the data (researchers, PMs, analysts) to understand what “correct” actually means for their use case, not just what’s easy to pipe
- Build monitoring and validation that catches silent data quality failures before they propagate
- Make real architectural tradeoffs (build vs. buy, batch vs. streaming, normalization vs. speed) and own the consequences
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Must-haves
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- Deep hands-on experience designing data systems, not just maintaining ones someone else architected (this is non-negotiable for the role)
- Strong command of Python, SQL, Spark/Databricks, and modern orchestration tools
- Demonstrated judgment on data modeling and pipeline design under real-world messiness, not clean-dataset tutorials
- A track record of taking ownership of a system end to end, including the parts that break at 2am
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Nice-to-haves
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- Experience with market data, alternative data, high-frequency/time-series data
- Experience in an environment where bad data has real financial consequences
- Contributions to open-source data tooling, or opinions strong enough to have written a blog post about them
- Comfort operating with minimal process in a small, high-trust team
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