Note: The job is a remote job and is open to candidates in USA. 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
Skills
- 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
Benefits
- A comprehensive benefits package
- Incentive and recognition programs
- Equity stock purchase
- 401k contribution (all benefits are subject to eligibility requirements)
Company Overview