Java/Spark Developer

SGA • Tampa, FL

6h • Onsite

About The Position

Software Guidance & Assistance, Inc., (SGA), is searching for a Java/Spark Developer for a contract assignment with one of our premier financial services clients in Tampa, FL. Seeking a candidate with expertise in big data processing, particularly within the TechFin industry. Should have experience working with financial enterprise technologies and large-scale distributed computing systems. This role involves developing and optimizing data pipelines for credit risk calculations and regulatory reporting.

Requirements

• 7+ years of experience in software development, specifically Core Java & Java 8 concepts (OOP, OOD, Collections, Exception Handling, JDBC, Multithreading, Streams, Lamda Expressions, Functional Interfaces, etc.).
• 5+ years of experience in SQL/NoSQL database management systems (Oracle, MySQL, Postgres, MongoDB, Couchbase, Neo4j).
• 3+ years of experience leading/owning software development projects from beginning to end with multiple team members.
• 2+ years of experience in Apache Spark (Java API) with good knowledge of Apache Spark concepts (RDD, DataFrame, Dataset, etc.).
• Experience working in financial market and credit risk enterprise software systems including, but not limited to, 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.
• Experience with agentic AI tools (Devin, Claude, or Copilot).

Responsibilities

• Design, develop, optimize, and maintain scalable data pipelines for processing and analyzing large scale financial data built on Core Java and Apache Spark.
• Lead projects for developing batch pipeline processes for credit risk analytics including, but not limited to, stress loss (GSST, CCAR) and expected credit loss (CECL, IFRS9, ICAAP).
• Ensure the efficient storage of and retrieval of all risk data in our big data platform systems (Hadoop, Hive, Impala, Spark, etc.).
• Implement best practices for spark performance tuning including, but not limited to, partitioning, caching, and memory management.
• Maintain code quality through high-efficiency testing, CI/CD pipelines (Tekton, Harness), and version control (GitHub).

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed