Software Engineer III
Kforce has a client that is seeking a Software Engineer III in Alpharetta, GA. Summary: We are looking for a Software Engineer to support and develop our Databricks-based data platform during the development phase. This role focuses on building, improving, and validating reliability patterns early, rather than production firefighting. The ideal candidate is hands-on with Databricks, PySpark, Python, and has working knowledge of Azure cloud services. This role partners closely with Data Engineering teams to ensure solutions are scalable, efficient, and production ready. Key Responsibilities:
- Develop and support Databricks notebooks, jobs, and workflows
- Write and optimize PySpark and Python code for data processing
- Assist in designing scalable and reliable 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 prepare solutions for future production rollout
- Document development standards, patterns, and best practices
- Bachelor's degree required; Master's preferred
- 3+ years of hands-on experience
- Hands-on experience with Databricks
- Experience working with Delta Lake
- Experience working in Microsoft Azure
- Experience using Git and version control
- Strong knowledge of PySpark and Spark fundamentals
- Understanding of Spark execution concepts (jobs, stages, tasks)
- Basic understanding of cloud resource usage and cost awareness
- Familiarity with: Azure Databricks; Azure Data Lake Storage (ADLS); Azure Blob Storage
- Familiarity with Databricks Repos or similar workflows
- Strong Python development skills
- Ability to write clean, modular, and reusable code
- Ability to perform basic testing and validation of data pipelines
- 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 transitioning development work toward production reliability
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