Software Engineer III

Job Description

Job Description

Software Engineer (Databricks/Data Platform)

Hybrid 3-4 days onsite in Alpharetta, GA

Duration through 10/30/26

We are looking for an experienced Software Engineer III to join our team in Alpharetta, GA. In this role, you will play a critical part in supporting and developing a Databricks-based data platform, focusing on creating scalable and efficient solutions during the development phase. This is a long-term contract position, requiring in-office work three to four days per week.

Responsibilities:

• Develop and support Databricks notebooks, jobs, and workflows
• Write, optimize, and maintain PySpark and Python code for data processing
• Help design scalable, reliable, and efficient data pipelines
• Apply Spark best practices (partitioning, caching, joins, file sizing)
• Work with Delta Lake tables and data models
• Perform data validation and quality checks during development
• Support cluster configuration and sizing for development workloads
• Identify performance bottlenecks early and recommend improvements
• Collaborate with Data Engineers to ensure solutions are production-ready
• Document development standards, patterns, and best practices

• Bachelor’s degree required (Master’s preferred)
• 3+ years of hands-on experience with:
• Databricks and Apache Spark
• PySpark and Spark fundamentals
• Delta Lake
• Spark execution concepts (jobs, stages, tasks)
• Strong Python development skills
• Experience writing clean, modular, reusable code
• Experience with version control using Git
• Familiarity with Databricks Repos or similar workflows
• Ability to perform basic testing and validation of data pipelines

Preferred / Nice to Have

• Experience working in Microsoft Azure
• Familiarity with:
• Azure Databricks
• Azure Data Lake Storage (ADLS)
• Azure Blob Storage
• Basic understanding of cloud cost awareness and resource usage
• Experience with Spark SQL
• Exposure to CI/CD pipelines for data platforms
• Knowledge of Infrastructure as Code (Terraform, ARM)
• Familiarity with Azure Monitor or Log Analytics
• Interest in evolving development work toward production reliability