Research Engineer, Data Platform

Build the data platform every model in the firm depends on, and keep it honest.

  • Engineering
  • New York
  • Full-time

What the job is.

Point-in-time correctness is not a feature here, it is the product. You will own pipelines that turn messy vendor feeds into datasets a researcher can trust without checking.

What you would own.

  • Design and operate ingestion for market, reference and alternative data.
  • Enforce point-in-time semantics: no revisions, no look-ahead, no silent gaps.
  • Build tooling that makes data quality visible before it reaches a backtest.
  • Partner with researchers on dataset design and access patterns.
  • Own the cost and latency profile of the platform.

Skills, qualifications
and experience.

Skills

  • Python and SQL, with strong data-modelling instincts
  • Columnar storage and query engines (Parquet, Arrow, DuckDB, ClickHouse)
  • Workflow orchestration and idempotent pipeline design
  • Testing for data: contracts, fixtures, reconciliation

Qualifications

  • Four or more years building data infrastructure at scale
  • Comfort operating what you build

Experience

  • Financial data experience is welcome but not required
  • Having debugged a silent data corruption at two in the morning

What we pay.

Base salary $180,000 – $260,000 USD per year, plus annual bonus and equity. The range reflects the level we are hiring at; the offer depends on experience.

Benefits

  • Equity in the firm from the first day
  • Medical, dental and vision cover for you and your dependants
  • Twenty weeks of parental leave
  • Twenty-five days of paid leave, plus public holidays
  • A $3,000 annual learning budget, with no approval process
  • One day a week for self-directed work
  • Visa sponsorship and immigration assistance, including for dependants
  • Relocation support: shipping, temporary housing and help settling in

Tell us what
you got wrong.

A CV, a link or two, and a few short answers. We read every application and reply within five working days.

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A note on discretion: we are privately held and privacy-first. Staff do not name Latice Capital on public profiles, and do not discuss our strategies, holdings or clients in public. We will walk through what that means before any offer.

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