Lead Big Data Engineer, Risk Analytics

2755 Barclays Services Corpor; United States; On-site; USD 170,000 - 230,000; Full time

Benefits offered by this job

Medical, dental, and vision coverage

401(k)

Life insurance

Paid leave

Incentive award

Job summary

Barclays is seeking a Lead Big Data Engineer – VP Risk Analytics to design, build, and scale data platforms supporting daily risk management, regulatory reporting, and critical analytics. You will collaborate with Quants, Risk Managers, and Front Office to deliver robust solutions in a large financial services environment.

The role is based in Whippany, NJ, with base compensation in the $170,000–$230,000 range. Strong emphasis on data governance, security, and production-readiness.

Qualifications

• Experience building scalable data platforms and analytics pipelines for financial or risk domains.
• Strong software engineering practices, testing, and deployment discipline.

Responsibilities

• Design, develop, and maintain scalable data processing solutions and risk analytics platforms.
• Build end-to-end data pipelines, including extraction, transformation, and loading workflows.
• Collaborate with Quants, Risk Managers, and Front Office to meet regulatory and risk reporting needs.
• Deliver production-grade software with performance, security, and reliability in mind.

Skills

Big Data Engineering

Python

Java

Spark

Risk Analytics

Tools

Apache Airflow

PostgreSQL

MongoDB

PyTest

Unix/Linux

Job description

Barclays is seeking a Lead Big Data Engineer – VP Risk Analytics to design, build, and scale data platforms supporting daily risk management, regulatory reporting, and critical analytics. You will collaborate with Quants, Risk Managers, and Front Office to deliver robust solutions in a large financial services environment.

The role is based in Whippany, NJ, with base compensation in the $170,000–$230,000 range. Strong emphasis on data governance, security, and production-readiness.