Senior Data & Platform Engineer (Market Risk Tech)

MUST be local to New York City, Hybrid Schedule

Salary: >$180k

No Sponsorship Available

Role: Build data services and Spark pipelines on Kubernetes and Databricks. Own end-to-end delivery with strong SDLC and mentor junior engineers. Financial-risk experience required, with Market Risk strongly preferred (CCR or Liquidity also acceptable).

Responsibilities:

• Develop Java/Python services and SQL/Spark ETL on Databricks.
• Containerize and deploy to Kubernetes with full observability.
• Enforce strong SDLC: reviews, testing, CI/CD, monitoring.
• Deliver audit-ready data contracts; partner with risk teams.
• Lead code reviews, coaching, and incident RCAs.

Requirements:

• 6+ years engineering; expert in Java, Python, SQL.
• Spark/Databricks proficiency (Delta, performance tuning).
• Production Kubernetes experience.
• Strong CI/CD and SDLC discipline.
• Deep knowledge of one or more risk areas, preferably Market Risk.

Nice to Have:
Basel/FRTB/CCAR, Unity Catalog/DLT, Terraform, Kafka, Airflow, secure APIs, reconciliation/limits tooling.