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Data ScienceHybrid

Data Engineer - Market Risk Technology

NextGen IT Inc. - Company

Grand Central, Manhattan, ๐Ÿ‡บ๐Ÿ‡ธ United StatesFull-time - Senior (4-7 years)0 applicantsCloses Jun 20, 2026

Salary

USD 194,411 - 194,411 / year

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Job description

Job details

  • Location: Grand Central, Manhattan
  • Work mode: Hybrid
  • Employment type: Full-time (Not an internship)
  • Salary: USD 194,411 per year

Role overview

NextGen IT Inc. is hiring a Data Engineer specializing in Market Risk Technology to join their team in Grand Central, Manhattan. This senior-level, full-time position offers a hybrid work arrangement and a competitive salary of $194,411 USD. The role focuses on designing and optimizing data pipelines for financial risk systems while leading a critical platform migration from legacy SSIS/SQL Server infrastructure to modern Databricks and Delta Lake architecture.

Job details

This is a full-time, hybrid position based in Grand Central, Manhattan, New York. The salary for this role is $194,411 USD annually. You will work on-site and remotely, collaborating with cross-functional teams to modernize market risk data infrastructure and ensure data quality across trading, regulatory, and risk management systems.

Responsibilities

  • Design and build data pipelines for trades, positions, P&L, and market data
  • Lead migration from SSIS/SQL Server to Databricks and Delta Lake platform
  • Conduct parallel reconciliation and decommission legacy systems on schedule
  • Embed data quality controls and exception handling in all pipelines
  • Optimize data transformations for VaR inputs, stress testing, and regulatory feeds

Requirements

  • 5+ years of experience in data engineering within financial services
  • Strong expertise in SQL Server, SSIS, and ETL pipeline development
  • Hands-on experience with Databricks, Delta Lake, and cloud data platforms
  • Deep understanding of market risk concepts, VaR, and regulatory reporting
  • Proficiency in Python and data quality frameworks

Benefits

  • Hybrid work flexibility
  • Competitive salary package
  • Exposure to cutting-edge data technologies
  • Work on high-impact financial systems

Keywords

DatabricksDelta LakeSQL ServerSSISETLMarket RiskData PipelinesPythonData Quality