Data Engineer

Responsibilities

• Develop and optimize scalable data pipelines on Azure Databricks, ensuring performance and cost efficiency
• Work with business analysts and programmers to create and analyze required project documentation
• Develop and execute comprehensive test plans and cases for system and integration testing
• Collaborate closely with Developers and QA engineers to deliver high-quality products
• Leverage LLM-based AI tools to drive innovation and integrate intelligent solutions into business processes
• Comply with software development life cycle standards and company policies

Requirements

• Bachelor's degree or equivalent professional experience
• 2+ years of Data Engineering experience
• Proficiency in Python, SQL, Scala, and Airflow
• Hands-on experience with Spark (PySpark/Scala)
• Experience with Azure Cloud, Yaml, JSON, and PowerShell
• Experience with LLM-based AI tools (e.g., GitHub Copilot, GenAI, or NLP)
• Ability to work during Eastern or Central daytime hours

Benefits

• Physical: Health plans and coverage to support wellness for you and your loved ones
• Emotional: Resources and tools to help manage stress and build resilience
• Financial: Benefits to help you plan for the future, including retirement options
• Life: Support and resources to help you focus on what matters most

About the Company

Optum is a global organization that delivers care, aided by technology, to help millions of people live healthier lives. We connect people with the care, pharmacy benefits, data, and resources they need to feel their best through a culture guided by innovation and inclusion.