Senior Core Java Data Pipeline Engineer for Finance

TSR Consulting, Inc.; Jersey City (NJ); On-site; USD 140,000 - 180,000; Full time

Job summary

TSR Consulting, Inc. seeks a senior software engineer to design, build, and optimize large-scale data pipelines for financial data using Core Java. The role leads batch processing projects for credit risk analytics, including stress testing and IFRS9/CECL scenarios.

You will ensure efficient storage and retrieval of risk data in Hadoop/Spark ecosystems, tune Spark jobs, and maintain high-quality code with CI/CD practices using GitHub, Tekton, and Harness.

Qualifications

• 7+ years of software development with Core Java and Java 8 concepts.
• 5+ years in SQL/NoSQL database management (Oracle, MySQL, Postgres, MongoDB, etc.).
• 3+ years leading software development projects with multiple team members.
• Experience in financial market and credit risk enterprise software systems.
• Experience with GitHub, Tekton, Harness and other CI/CD pipeline technologies.
• Ability to work in a fast-paced TechFin environment.
• Experience with agentic AI tools (Devin, Claude, or Copilot).

Responsibilities

• Design, develop, optimize, and maintain scalable data pipelines for processing financial data built on Core Java.
• Lead batch pipeline projects for credit risk analytics including stress testing and ECL IFRS9.
• Ensure efficient storage and retrieval of risk data in big data platforms (Hadoop, Hive, Impala, Spark).
• Implement Spark performance tuning (partitioning, caching, memory management).
• Maintain code quality through testing, CI/CD pipelines (Tekton, Harness) and GitHub.

Skills

Core Java

Java 8

SQL/NoSQL

Project Leadership

Financial Risk Systems

CI/CD

GitHub

Tekton

Harness

AI tools

Tools

GitHub

Tekton

Harness

Job description

TSR Consulting, Inc. seeks a senior software engineer to design, build, and optimize large-scale data pipelines for financial data using Core Java. The role leads batch processing projects for credit risk analytics, including stress testing and IFRS9/CECL scenarios.

You will ensure efficient storage and retrieval of risk data in Hadoop/Spark ecosystems, tune Spark jobs, and maintain high-quality code with CI/CD practices using GitHub, Tekton, and Harness.