Senior Data Engineer: Remote AI & Analytics Leader

UnitedHealth Group; Raleigh (NC); On-site; Confidential; Full time

Job summary

UnitedHealth Group seeks an analytics engineering leader to design and operate scalable data pipelines using Databricks, Python, PySpark, and SQL; build BI solutions with Power BI; collaborate with product, engineering, and business teams to define metrics and enable data-driven decisions.

You will apply AI-driven insights, ensure data quality and governance, and drive enterprise-wide engineering best practices in a remote-friendly environment.

Qualifications

• 10+ years of experience in Data Engineering, Analytics Engineering, Data Architecture, Software Engineering, or related disciplines.
• 5+ years of cloud experience (Azure, GCP, AWS, or similar platforms).
• 4+ years of hands-on experience with Databricks or similar tools, using Python and/or PySpark and SQL to build scalable applications and solutions.
• 3+ years of experience delivering AI-driven data solutions.
• 3+ years of experience working within enterprise environments with a strong focus on scalability, reliability, security, and governance.
• 3+ years of proven track record leading large-scale technical initiatives across multiple teams.

Responsibilities

• Provide technical leadership for analytics engineering, owning solution design, implementation, and operationalization across enterprise analytics platforms.
• Design, build, and optimize scalable analytics pipelines using modern data platforms (e.g., Databricks).
• Develop and govern business intelligence solutions (e.g., Power BI), including semantic models, dashboards, and executive reporting.
• Partner with product, engineering, and business stakeholders to define metrics and enable data driven decision making.
• Apply advanced analytics and AI enabled insights to surface trends, risks, and opportunities.
• Ensure data quality, lineage, security, and governance across analytics assets.
• Optimize performance through efficient data modeling, query tuning, and pipeline optimization.
• Collaborate within global delivery models and provide technical guidance to analytics engineers.
• Participate in analytics platform partner sessions and workshops to stay aligned with platform capabilities and best practices.

Skills

Data engineering

Analytics engineering

Leadership

Cloud platforms (Azure/GCP/AWS)

AI/ML data solutions

Enterprise data governance

Tools

Databricks

Power BI

Tableau

Python

PySpark

SQL

Cloud platforms (Azure/GCP/AWS)

AI/ML

Leadership

Job description

UnitedHealth Group seeks an analytics engineering leader to design and operate scalable data pipelines using Databricks, Python, PySpark, and SQL; build BI solutions with Power BI; collaborate with product, engineering, and business teams to define metrics and enable data-driven decisions.

You will apply AI-driven insights, ensure data quality and governance, and drive enterprise-wide engineering best practices in a remote-friendly environment.