Principal Data Engineer - Remote

UnitedHealth Group is simplifying the health care experience and creating healthier communities. They are seeking a Principal Data Engineer to design and optimize data solutions, collaborate with analytics partners, and lead the development of data ingestion pipelines.

Responsibilities:

• Work with engineering peers, business leadership, and partner teams to design, implement and optimize data solutions for the member experience and product design teams
• Collaborate closely with BI and Analytics partners to design transformations for business-ready data
• Assist with Data Analysis by providing context around data and developing a deep knowledge of the team's core datasets
• Lead the design of flexible and scalable data ingestion pipelines to make data ingestion more efficient integrating new technologies and best practices
• Supporting data governance with data cataloging, data cleansing, data security, archiving
• Solve complex data development issues within on premise and cloud environments
• Collaborate on quality strategies that ensure our data platforms are correct, resilient, scalable and secure
• Partner with team members to share ownership of data pipelines and develop shared team capabilities

Requirements:

• Undergraduate degree or equivalent experience
• Bachelor's degree in computer science or a related field
• 7+ years of overall experience in Data Engineering / Data Analysis Roles
• 5+ years of experience modeling, designing, building, and supporting Data Lake / Data Warehouse transformation architectures in a production environment to support BI and Analytics models
• Demonstrated experience in supporting BI initiatives, working closely with stakeholders to deliver high quality consumable data
• Proficiency in SQL, Python and data libraries used in profiling, transforming and validating large datasets
• Familiar with best practices for data flow patterns for data ingestion, data sharing and data product delivery
• Proven expertise in Cloud data services, including Azure Managed databases, Azure Data Factory, AWS RDS, AWS Glue, Data Bricks, and others
• Proven exposure to emerging AI tools and a growing proficiency with developing solutions utilizing AI models and agents
• Proven ability to work under pressure, organize and prioritize responsibilities
• Proven ability to quickly grasp complex technical and business concepts and express them in clear language
• Proven self-motivated with the ability to work independently as well as part of a team
• Proven effective communication skills (both written and verbal) with internal and external clients