Principal Event Data Engineer - Remote

UnitedHealth Group is a global organization focused on improving health outcomes through technology. The Principal Event Data Engineer role involves creating and maintaining data environments, building data ingestion pipelines, and collaborating with cross-functional teams to develop scalable data solutions.

Responsibilities:

• Participate in incident investigations following a data event
• Partner with the team to design and develop a scalable, high-performance data and reporting platform that serves our customers and stakeholders
• Partner with cross-functional stakeholders to understand evolving data needs and define long-term technical solutions
• Drive strategic initiatives around the use of AI solutions, data quality, observability, lineage, and governance. Ability to leverage AI and AI tools in security
• Introduce and evolve best practices in data modeling, orchestration, testing, and monitoring
• Identify and champion investments in platform scalability, reusability, and operational efficiency
• Collaborate with product and infrastructure teams to design data solutions that enable rapid experimentation and innovation
• Build, maintain, and leverage parsing and analytic libraries
• Build and maintain data ingestion pipelines and environments
• Work comfortably under time-sensitive conditions while ensuring thoroughness
• Maintain high ethical standards and the ability to remain objective and confidential

Requirements:

• Bachelor's degree or 5+ years of work experience
• 5+ years of writing and deploying Python and/or Java code
• 5+ years of experience in PySpark and Databricks
• 5+ years of experience normalizing unstructured data
• 4+ years of experience with DevOps and CI/CD tools such as GitHub actions, Kubernetes, Docker, and Terraform
• 2+ years of experience leveraging and deploying Generative AI use cases to production environment
• Expertise in SQL and database fundamentals, with strong experience working with data lakes and warehouses (e.g., Snowflake, Databricks)
• Experience designing and scaling ELT/ETL frameworks with orchestration tools like Airflow, or similar platform
• Cyber certifications such as CISSP or Security+
• 4+ years of experience with data visualization tools and libraries such as plotly, seaborn, Chart.js
• Experience with machine learning and predictive analytics
• Familiarity with cloud platforms such as AWS, Azure, or Google Cloud
• AI/ML experience building classification and fingerprinting files
• Experience with SIEMs such as Splunk, Elastic, Sentinel
• Experience delivering reports and analytics in a cyber security organization
• Familiarity with eDiscovery platforms and working with legal counsel