Software Engineer III - Data Engineering, PySpark, AWS, Databricks

Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development

• Gathers, analyzes, synthesizes, and develops visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems

• Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture

• Contributes to software engineering communities of practice and events that explore new and emerging technologies

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and 3+ years applied experience

• Experience with Databricks platforms for big data analytics and processing

• Hands-on experience in Cloud technologies (AWS)

• Proficient in coding in one or more languages: Python, PySpark, Scala, Java, and SQL

• Hands-on practical experience in system design, application development, testing, and operational stability

• Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages

• Overall knowledge of the Software Development Life Cycle

• Solid understanding of agile methodologies such as CI/CD, Application Resiliency, and Security

• Demonstrated knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.

Preferred qualifications, capabilities, and skills

• Experience with Claude models (Sonnet, Opus, Haiku, etc.) to generate code and integrate the code with other components
• Experience with Agentic AI
• Proficiency with GitHub Copilot and Claude Code
• Experience with data orchestration tools such as Apache Airflow