Scala Developer

Scala Developer – Big Data & Analytics | Remote (U.S.-based) | 12-Month Contract (Extension Likely) | W2 Only! There are no Corp-to-Corp options or Visa Sponsorship available for this position. Optomi, in partnership with a leading consulting firm, is seeking a Scala Developer to support a critical data initiative for a large-scale public sector program. This fully remote role is part of a strategic Data Management and Analytics project and offers the opportunity to work on high-impact data solutions. Candidates will join a collaborative delivery team focused on processing high-volume healthcare encounter claims data using modern Big Data technologies. What the right candidate will enjoy: • Long-term contract with strong potential for extension! • High-impact work with large-scale data initiatives in the public sector! • Access to modern Big Data tools and enterprise-scale architecture! • Collaborative, cross-functional team environment with both consulting and government stakeholders! Experience of the right candidate: • Bachelor’s degree in Computer Science, Engineering, or related field (or equivalent experience). • 5+ years of experience in software engineering, including strong functional programming expertise. • Advanced experience working with Apache Spark using Scala for large-scale data processing. • Proficiency with HDFS and SQL in a Big Data ecosystem. • Solid understanding of Object-Oriented Programming principles. • Experience working in distributed computing environments such as Hadoop or Cloudera. • Familiarity with Drools and Java EE/J2EE frameworks. Preferred Qualifications: • Prior experience on public sector or healthcare data projects. • Understanding of claims data or healthcare transaction processing (e.g., encounter data). • Experience optimizing Spark jobs for performance and reliability. • Familiarity with rule engines, enterprise service buses, and data governance concepts. Responsibilities of the right candidate: • Design, develop, and maintain Scala-based applications to process high-volume healthcare claims data. • Build and optimize Spark-based data pipelines that align with business and regulatory requirements. • Collaborate with cross-functional teams, including data architects, QA, and project stakeholders. • Participate in validation, testing, and performance tuning of data workflows. • Ensure code quality, reusability, and adherence to best practices in distributed computing. • Support integration of systems across the Big Data ecosystem (Hadoop, Cloudera, HDFS, etc.). What we’re looking for: • Strong engineering fundamentals with a focus on functional and distributed programming. • Hands-on experience with modern data platforms and Big Data frameworks. • Ability to translate business requirements into scalable technical solutions. • Effective communication and teamwork across technical and non-technical stakeholders. • Self-motivated professional with a mindset for continuous learning and improvement.