Back-End Software Engineer – Databricks & Data Integration
CLA (CliftonLarsonAllen)
Austin, TX · Posted November 3, 2026
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November 2026
- #1Best cities for professional services pay after cost of living$168k · of 25
- #1Cities with the most jobs that do not need a four-year degree in the Southwest493 jobs · of 38
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- AI tools named most often in data and analytics jobs #1 Databricks (7.6%)
- Employers with the most data and analytics jobs #1 Amazon (711 roles)
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About the job
CLA 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 Impact
Back-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.
What You Will Need
Required Qualifications
2 years of relevant experience required.
Preferred Qualifications
Experience with programming languages commonly used in back-end development, such as Python, Java, C#, or Node.js .
Experience developing or supporting solutions using Databricks or a comparable cloud-based data platform .
Experience working with APIs, application integrations, databases, and data processing solutions.
Education
Bachelor’s degree is required. Combination of relevant experience, education, and training may be accepted in lieu of degree.
Degree in Computer Science, Software Engineering, Information Systems, or a related field preferred.
Technical Competencies
Foundational experience with one or more server-side languages, such as Java, Python, Ruby, PHP, or Node.js .
Basic understanding of SQL and NoSQL database technologies , such as MySQL and MongoDB, including data querying and data structures.
Working knowledge of Databricks for developing, executing, and supporting data processing and integration solutions.
Familiarity with Databricks notebooks, jobs/workflows, clusters or serverless compute, and SQL-based data processing .
Foundational understanding of data engineering concepts , including ETL/ELT, data transformation, data quality, and data integration.
Familiarity with Git for source control, branching, merging, and collaborative code management.
Working knowledge of HTML, CSS, and JavaScript to support integration with front-end components and understand full-stack interactions.
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Wellness at CLA
To support our CLA family members, we focus on their physical, financial, social, and emotional well-being and offer comprehensive benefit options that include health, dental, vision, 401k and much more.
To view a complete list of benefits, click here .