Software / Data Engineer

We have partnered with our client in their search 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.

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

Skills Required

Databricks & Spark

Programming

Cloud & Azure (Preferred)

Development Practices

Nice to Have

Education & Work Experience

Title Software Engineer

Location Remote est

Client Industry Legal and Professional

About Korn Ferry

Korn Ferry unleashes potential in people, teams, and organizations. We work with our clients to design optimal organization structures, roles, and responsibilities. We help them hire the right people and advise them on how to reward and motivate their workforce while developing professionals as they navigate and advance their careers. To learn more, please visit Korn Ferry at