Top Scala Jobs in Chicago, IL

Design, build, and maintain Scala backend systems for real-time auto-liquidation, risk evaluation, account management, trading, and post-trade processing. Develop actor-based, event-driven services; design PostgreSQL schemas; troubleshoot distributed production issues; improve observability and code quality; contribute to architecture and legacy modernization; collaborate cross-functionally; and mentor junior engineers.

Lead a team to design and deliver cloud-based backend solutions and distributed microservices using languages like Python, Scala, and Java. Collaborate with product managers, mentor engineers, evaluate code, and use AWS, containers, and data frameworks (Spark) to meet regulatory and customer needs.

Design, build, and maintain Scala-based backend services for evaluation, risk, and trading workloads (real-time auto-liquidation, account state, post-trade). Own end-to-end features, evolve actor-based systems (Akka/Pekko), design Postgres schemas (JSONB), diagnose production incidents, drive code quality, collaborate with cross-functional teams, mentor juniors, and contribute to architecture and modernization decisions.

The Senior Scala Engineer develops and maintains back-end systems for web applications, focusing on scalable microservices and secure data management while collaborating with cross-functional teams.

The Senior Scala/Python Engineer designs and develops scalable back-end systems, architects APIs, optimizes databases, and mentors team members in functional programming practices, enhancing platform reliability and security.

Design, develop, and maintain high-performance Scala/Java server-side applications and RESTful APIs. Work on distributed systems, ensure data integrity and security, write unit tests, optimize performance, participate in design reviews, and mentor junior engineers while supporting CMS mission requirements.

Design, develop, optimize, and deploy high-performance Spark/Scala data processing applications and ETL pipelines within the Cloudera Hadoop ecosystem. Collaborate with data scientists and analysts, ensure data integrity and performance, troubleshoot Spark/Cloudera issues, and implement version control and CI/CD for Spark applications.

Design, develop, optimize, test, and deploy large-scale Spark/Scala data processing and ETL pipelines within the Cloudera ecosystem. Collaborate with data scientists and analysts, ensure data integrity and security, troubleshoot performance issues, and implement version control and CI/CD for production data solutions.

Design, develop, optimize, and deploy large-scale data processing applications using Scala and Apache Spark within the Cloudera Hadoop ecosystem. Build ETL pipelines, ensure data integrity and performance, troubleshoot Spark/Cloudera issues, collaborate with data scientists and analysts, and implement version control and CI/CD for Spark applications.

Design, develop, optimize, and deploy high-performance data processing applications using Scala and Apache Spark on Cloudera CDH. Build and tune ETL pipelines integrating HDFS, Hive, Impala, HBase, and Kafka. Ensure data integrity and security, troubleshoot performance, collaborate with data scientists and analysts, and implement version control and CI/CD.

Design, develop, and maintain scalable backend services and distributed systems using Scala, Java, and the Akka ecosystem; build RESTful APIs and cloud-native solutions on AWS; design data access with Slick/SQL; maintain CI/CD pipelines; participate in architecture, code reviews, troubleshooting, and performance improvements.