Core Data Engineer

New York officefull time

On Site

$165k–$210k

H1B: no

Flowtraders The Core Data Engineer owns the end-to-end lifecycle of fundamental data products, building and monitoring automated pipelines to ensure reliable data availability. The role involves collaborating across teams to optimize data use and support quantitative trading strategies.

Responsibilities

Craft datasets with quants. Take an underspecified research question and turn it into the right dataset: aligned, adjusted, point-in-time correct, documented, and reproducible.
Develop and own the end-to-end lifecycle of these data products. Build and maintain pipelines, develop quality checks, correct day-to-day operational issues, and systematize/automate manual processing steps
Own data quality where it matters. Design the checks and alerts that catch the problems that would actually hurt a strategy, and deliberately leave out the ones that are just noise.
Build shared foundations. Reference data, instrument identifiers, corporate actions and vendor feeds that every researcher and trading desk depends on.
Keep critical pipelines running. Markets in several regions, and digital asset markets that never close, depend on this data. You will be part of a team that supports it across time zones.

Qualification

You have owned something in productionStrongly preferredExperience with financial dataFamiliarity with point-in-time data

Required

Analytics or data engineering experience, ideally at a startup or scale-up through a growth phase
Strong data modelling and data quality practice: tests, contracts, lineage, observability in production
Strong proficiency in Python (ideally familiarity with another statically-typed language)
Working proficiency with SQL and relational databases, and version control systems
Demonstrated ability to work with large datasets and familiarity with big data solutions
You have owned something in production, not only built it
You enjoy working directly with the people who use your data
Strong interpersonal and communication skills, with the ability to collaborate effectively with technical and non-technical stakeholders
Ability to balance individual stakeholder requirements with data quality, consistency, and broad applicability
Strongly preferred
Experience with financial data: prices, market data, transactions, instruments
Familiarity with point-in-time data, look-ahead bias and survivorship bias

Company

Flowtraders

View company page

Source: greenhouse

Active within the past hour

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