Schonfeld · New York, New York, United States
Skills: Python, SQL, AWS, CI/CD
The Role We are seeking a hands-on Lead Data Content Curation Engineer to transform complex financial and enterprise datasets into trusted, research-ready data products. Working closely with investment research teams, data engineers and platform specialists, you will translate raw vendor content into well-designed models, curated tables, views and reusable datasets across relational databases and modern lakehouse platforms. You will deliver usable data products quickly while progressively introducing AI-assisted curation and automation. This role focuses on data quality, usability and business meaning rather than database infrastructure administration. What you’ll do Own end-to-end curation of external and internal datasets, from source evaluation and ingestion design through modeling, validation, publishing and ongoing evolution; prioritize rapid delivery of research-ready content. Interpret complex financial vendor data, including S&P Capital IQ and comparable fundamental, reference and market datasets: schemas, identifiers, relationships, update patterns and methodology changes. Design and implement research-ready relational and lakehouse data models, SQL transformations, curated tables, materialized datasets and performant views across PostgreSQL, SingleStore and Apache Iceberg-based platforms. Build shared, strategy-agnostic data products that support distinct investment workflows without duplicating core definitions, identifiers or historical logic. Enable seamless, location-independent discovery and access to trusted datasets through catalog, API and query services, working with platform teams to preserve consistent semantics, entitlements and governance regardless of where data resides. Partner with investment researchers and analysts to translate use cases into reusable content, including point-in-time company fundamentals, entity-linked financial metrics and historical research datasets. Curate and deliver research-ready datasets supporting fundamental and…
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