Data Engineer
$180k - $200kFull-time
Open Select
Data Engineer
Location: New York, NY (On-site)
Comp: $180k - $200k + Equity
Industry: FinTech / AI
Who you'll join
An early-stage fintech building a production-grade data platform for public markets. The data team is small, works close to the product, and takes full ownership of what it ships. If you have spent time at a buy-side data firm, you will recognize the standard they are aiming for.
What you'll do
- Build and run production data pipelines with full operational ownership.
- Design schemas that model financial domains and absorb new data sources cleanly.
- Resolve entities and map identifiers across vendor feeds, APIs, and scraped sources.
- Onboard third-party data including messy vendor feeds, partner APIs, and PDFs.
- Monitor data quality using validation, contracts, freshness checks, and lineage tools.
- Model reference data covering security masters, corporate actions, and filings.
- Instrument pipelines for observability and act on failures without hand-holding.
Who you are
- Spent several years running production pipelines with real orchestration ownership.
- Write strong SQL and Python without needing scaffolding or close review.
- Model data well and can explain why a schema is designed the way it is.
- Understand public markets reference data, corporate actions, and identifier standards.
- Communicate clearly and flag problems early without being chased.
- Work autonomously and take problems from discovery through to production.
- Bonus: familiar with streaming or tick data, time-series storage, or knowledge graphs.
Tech stack
Python, SQL, Airflow, Dagster, Prefect, data warehouse or lakehouse (e.g. Snowflake, BigQuery, Databricks), ISIN, CUSIP, SEDOL, FIGI, RIC, Bloomberg, LSEG / Refinitiv, S&P, FactSet, ICE
Why you'll thrive
- Work directly with the Head of Data on a small team where your choices matter.
- Own your work end to end, from ingestion through to production monitoring.
- Public markets data is the core of the product, not a side concern.
- Join at a stage where the data architecture is still being defined and built.
- Work on-site in New York with a team that holds a high technical bar.
Vacancy posted 1 day ago
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