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