Scala Engineers

Job Information Date Opened 12/10/2025 Job Type Contract Industry Financial Services Work Experience 8 + years Salary $50/Hr City Chicago State/Province Illinois Country United States Zip/Postal Code 60601 About Us At Appex Innovations, we believe in the power of technology to transform healthcare, we believe in being nimble and in continual innovation, we believe that every customer is unique and we believe in listening to our clients. With our deep expertise in the health care domain, solid resource base, constant industry interface and the drive to be the best in the industry, we strive to provide services that re-define health care in the years to come. The secret to our success is Appex Innovations commitment to our people and our work. We thrive on teamwork, intelligence, and innovation. Our bright and energetic employees, hailing from over different parts of the world, share a passion for leading the way to improved healthcare outcomes. Together we work diligently to add value to our clients. Job Description Staff Scala Engineer (Onsite) Location: Chicago, IL (Onsite) Open for Virginia Locations too. Overview: We are a technology-driven company seeking a highly experienced and technically profound Staff Scala Engineer to anchor our Data Platform team. This role demands leadership in designing, developing, and optimizing high-throughput, fault-tolerant data solutions using a modern stack centered on Scala, Apache Spark, and AWS cloud services. Core Responsibilities System Architecture: Lead the architectural definition and implementation of robust, scalable, and efficient data processing systems utilizing Scala and Apache Spark. Self-Correction Note: Consider the trade-offs between batch and stream processing architectures (e.g., using Spark Streaming or Flink). Engineering Excellence: Develop high-quality, maintainable, and performant functional code in Scala. Drive performance tuning and optimization of large-scale Spark jobs. Cloud Infrastructure: Architect and manage the deployment of data pipelines using core AWS services (e.g., S3, EMR, Glue, ECS). Ensure optimal usage of cloud resources for cost and efficiency. Technical Leadership: Serve as a subject matter expert for the team. Mentor peers, define coding standards, and lead complex technical design reviews. Collaboration: Partner with cross-functional teams (Product, DevOps, Analytics) to ensure technical solutions meet business requirements and are seamlessly integrated into the ecosystem. Operational Support: Implement and manage monitoring, logging, and alerting strategies to maintain the health and reliability of production data services. Required Technical Qualifications Minimum 7+ years of professional experience in software engineering, with significant time spent building distributed data applications. Expertise in Scala: Deep, demonstrable experience with production-level Scala development, emphasizing Functional Programming paradigms. Expertise in Apache Spark: Mastery of Apache Spark (Scala API) for complex, large-scale data transformation, ETL/ELT, and performance optimization techniques (shuffling, partitioning). AWS Cloud Proficiency: Strong, practical experience with primary AWS data and compute services (e.g., S3, EMR, Glue, Step Functions, IAM, CloudFormation/Terraform). Foundational Knowledge: Solid grasp of distributed systems design, data structures, and algorithms. Database Experience: Proficiency with various data storage technologies (relational, NoSQL). DevOps Practices: Working knowledge of CI/CD pipelines and infrastructure as code tools (Terraform, CloudFormation). Preferred Qualifications Experience with stream processing (e.g., Kafka, Kinesis, Flink). Familiarity with container orchestration (Docker and Kubernetes/EKS). Prior experience in a Staff, Principal, or Lead Engineer role.