Senior Data Engineering Consultant

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together.  

Primary Responsibilities:

• Azure Data Engineering & Reporting - Lead role
  • Design, build, and support data platforms on Microsoft Azure using Azure Databricks, Azure Data Factory (ADF), ADLS Gen2, and Azure SQL
  • Implement and maintain Bronze, Silver, and Gold data layers, with a strong focus on data quality, reliability, and performance
  • Develop reusable data engineering components and frameworks using Python and PySpark
  • Own and improve existing data pipelines, including performance tuning, scalability, and operational stability
  • Review designs and code, and guide teams on data engineering best practices
• Data Governance, Security & Compliance
  • Implement and operate Unity Catalog for access control, lineage, and data governance
  • Ensure data security and compliance standards are followed across dev, test, and production environments
  • Work closely with cloud, security, and platform teams to align with enterprise Azure standards
  • Help define and enforce clear patterns for data access, role-based security, and auditing
• Power BI & Reporting
  • Design and manage semantic models and datasets used by Power BI reports
  • Build and support Power BI dashboards with a focus on performance, scalability, and maintainability
  • Write and optimize DAX and data models for large datasets
  • Manage refresh strategies and troubleshoot performance issues in Power BI
  • Support self service reporting while ensuring data is governed and consistent
• Technical Leadership & Collaboration
  • Act as a technical lead for data and BI engineers working in the LCA space
  • Work directly with product teams and business users to translate requirements into data solutions
  • Mentor engineers, review designs, and help raise the overall engineering bar

  • Take shared ownership of production support, root cause analysis, and continuous improvements

• Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so

Required Qualifications:

• Undergraduate degree or equivalent experience
• Solid experience with Azure BI and data services (ADF, ADLS, Azure SQL, Databricks)
• Hands on expertise in Power BI (DAX, semantic models, performance tuning)
• Experience with Unity Catalog, data governance, and security models
• Experience building and operating large scale, production grade data pipelines
• Proficiency in Python for data engineering and reusable framework development
• Solid understanding of data warehousing, data modeling, BI architecture, and AI ready data design

• Proven solid communication skills to work with both technical and business stakeholders

• Azure & Data Engineering
  • Solid hands on experience with:
    • Azure Databricks
    • Azure Data Factory (ADF)
    • ADLS Gen2
    • Azure SQL
  • Experience building and running production grade data pipelines on Azure
• Power BI
  • Deep experience with Power BI, including:
    • DAX
    • Semantic / tabular model design
    • Performance tuning
• Data & Governance
  • Hands-on experience with Unity Catalog or similar data governance solutions
  • Solid Python and PySpark skills
  • Good understanding of:
    • Data warehousing concepts
    • Star and snowflake schemas
    • Azure based BI architectures
• Other
  • Able to communicate clearly with both engineering teams and business stakeholders
  • Comfortable leading discussions, reviewing work, and influencing design decisions

Preferred Qualifications:

• Exposure to AI/ML pipelines, feature engineering, or GenAI adjacent data preparation use cases
• Familiarity with Power BI Fabric, semantic layer best practices, or lakehouse architecture
• Awareness of GenAI enablement patterns such as vector ready datasets, embeddings, or MLFlow integration (desirable, not mandatory)

At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone-of every race, gender, sexuality, age, location and income-deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission.