Senior Data & Platform Engineer (Market Risk Tech)

Overview

Hybrid
Up to $180,000
Full Time

Skills

Kubernetes
Databricks
Java
Python
SQL
Continuous Integration
Continuous Delivery

Job Details

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.

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