Python/Spark Developer

Axelon Services Corporation

  • TAMPA, FL
  • 5 days ago
  • $84–$89 Per Hour

Highlights

Lead projects for developing batch pipeline processes for credit risk analytics including stress loss (GSST, CCAR) and expected credit loss (CECL, IFRS9, ICAAP). Experience working in financial market and credit risk enterprise software systems including scenario analysis and stress testing.

Numbers & Facts

LocationTAMPA, FL
Salary$84–$89 Per Hour

Description

Global Financial Firm located in TAMPA, FL has an immediate contract opportunity for an experienced Python/Spark Developer

Pay Rate: $84.00 - $89.00 Negotiable based upon years of experience

Work Mode: Hybrid

Location: Tampa, FL

Responsibilities:

  • Design, develop, optimize, and maintain scalable data pipelines for processing and analyzing large-scale financial data.
  • Lead projects for developing batch pipeline processes for credit risk analytics including stress loss (GSST, CCAR) and expected credit loss (CECL, IFRS9, ICAAP).
  • Ensure efficient storage and retrieval of all risk data in big data platform systems (Hadoop, Hive, Impala, Spark, etc.).
  • Implement best practices for Spark performance tuning including partitioning, caching, and memory management.
  • Maintain code quality through high-efficiency testing, CI/CD pipelines (Tekton, Harness), and version control (GitHub).

Requirements:

  • Minimum 7 years of software development experience with at least 5 years of hands-on Python and Apache Spark development in enterprise environments.
  • Experience building backend applications and services using Python, not solely data engineering or analytics solutions.
  • Proficiency in OOP, OOD, exception handling, concurrency, and functional programming concepts.
  • Strong SQL skills with enterprise databases such as Oracle, PostgreSQL, SQL Server, or MySQL. Experience with NoSQL platforms is a plus.
  • Minimum 3 years of experience leading/owning software development projects from beginning to end with multiple team members.
  • Experience working in financial market and credit risk enterprise software systems including scenario analysis and stress testing.
  • Experience with GitHub, Tekton, Harness, and other CI/CD pipeline technologies.
  • Ability to work in a fast-paced TechFin environment.

Preferred Skills:

  • Experience leveraging AI-assisted development tools such as GitHub Copilot, Claude, Devin, or similar technologies to improve engineering productivity.

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