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Java​/Spark Developer

Remote / Online - Candidates ideally in
Tampa, Hillsborough County, Florida, 33646, USA
Listing for: Axelon Services Corporation
Remote/Work from Home position
Listed on 2026-03-04
Job specializations:
  • Software Development
    Software Engineer, Java Developer, Data Engineer
Salary/Wage Range or Industry Benchmark: 67 - 71 USD Hourly USD 67.00 71.00 HOUR
Job Description & How to Apply Below

Pay Rate: $67.00 - $71.00 per hour, negotiable based upon years of experience

Summary
  • Global Financial Firm located in Tampa, FL is seeking an experienced Java Spark Developer for a contract role.
  • This role is currently on a Hybrid Schedule with expectations to be in the office weekly 3 days depending on the team requirement.
  • Reliable internet, computer, and smartphone are required for remote access into company systems during remote work.
Responsibilities
  • Develop and optimize scalable Java Spark-based data pipelines for processing and analyzing large scale financial data.
  • Design and implement distributed computing solutions for risk modeling, pricing, and regulatory compliance.
  • Ensure efficient data storage and retrieval using Big Data technologies.
  • Implement best practices for spark performance tuning including partition, caching, and memory management.
  • Maintain high code quality through testing, CI/CD pipelines, and version control (Git, Jenkins).
  • Work on batch processing frameworks for Market risk analytics.
Requirements
  • 7 years of experience in software development with at least 3 years in Java Spark and Big Data frameworks.
  • Experience working in financial markets, risk management, and financial instruments.
  • Familiarity with market risk concepts including VaR, Greeks, scenario analysis, and stress testing.
  • Hands-on experience with Hadoop and Spark.
Required Skills
  • Strong proficiency in Python and Java Spark with knowledge of core spark concepts (RDDs, Dataframes, Spark Streaming, etc.).
  • Proficiency in Git, Jenkins, and CI/CD pipelines.
  • Excellent problem-solving skills and strong mathematical and analytical mindset.
  • Ability to work in a fast-paced financial environment.
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