Back-End Software Engineer – Databricks & Data Integration

Back-End Software EngineerCLA is a top 10 national professional services firm where our purpose is to create opportunities every day, for our clients, our people, and our communities through industry-focused wealth advisory, digital, audit, tax, consulting, and outsourcing services. CLA is seeking a Back-End Software Engineer to join our growing technology team. This role supports the design, development, and maintenance of secure, efficient server-side systems, APIs, and data solutions. You'll collaborate with technology and business teams to develop new capabilities, solve problems, and ensure reliable performance across applications and data platforms. This is a great opportunity for someone who enjoys back-end development but also wants to expand their experience working with modern data technologies, including Databricks. How You'll Make an ImpactBack-End Development & Integration Build and maintain APIs that enable secure and efficient data exchange between systems. Develop and support server-side logic, services, and data structures. Develop, maintain, and support data processing and integration solutions using Databricks, including notebooks, jobs, and workflows. Use Databricks and SQL to transform, process, and integrate data in support of applications and business requirements. Collaborate with front-end developers and other team members to integrate user-facing components with back-end systems. Partner with stakeholders to understand business requirements and help translate them into effective technical solutions. Feature Development, Testing & Security Participate in the design, development, testing, and deployment of new features with support and guidance from senior team members. Develop and test solutions within Databricks using established development, source-control, deployment, and security practices. Implement security and data-protection measures using established standards and practices. Perform unit and integration testing to support application functionality and reliability. Create and maintain technical documentation, including specifications, diagrams, and implementation details. Operations, Monitoring & Project Support Monitor system performance and troubleshoot and resolve issues as needed. Monitor and troubleshoot Databricks jobs, workflows, and data processing activities to support reliable and efficient operations. Support project planning activities, including estimation, task coordination, and identification of dependencies. Collaborate across technology teams to support continuous improvement of applications, integrations, and data solutions.