Data Engineering Consultant - Snowflake, Salesforce Data Cloud/D360

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.

We are seeking a Senior Data Engineer with strong BI development experience to design, build, and maintain analyticsready data pipelines and datasets that power enterprise reporting, dashboards, and AI use cases. This role is data engineeringled, with direct ownership of how data is modeled, transformed, and curated for business intelligence and AI consumption.

The ideal candidate understands that great BI and AI outcomes start with strong data foundations and has experience enabling analytics platforms-particularly Salesforce CRM Analytics and Einstein-through welldesigned, governed data layers.

Ability to work until 12 PM Central Time (US)

Primary Responsibilities:

• Technology Stack: Snowflake, Salesforce, Salesforce Data Cloud, CRM Analytics (CRMA), Einstein

• Data Engineering & Analytics Enablement

• Design, build, and maintain scalable data pipelines feeding analytics and AI use cases

• Develop and manage analyticsready datasets in Snowflake and/or Salesforce Data Cloud

• Apply strong data modeling practices to support BI, dashboards, and predictive analytics

• Ensure data quality, reliability, and performance across analytics workloads

• Medallion Architecture & Data Maturity (Core Requirement)

• Design and operate within a medallion architecture (Bronze / Silver / Gold)

• Build and curate Goldlayer datasets optimized for BI and AI consumption

• Partner with BI developers and stakeholders to ensure:

• Business logic is implemented upstream

• Dashboards remain performant, consistent, and reusable

• Assess data readiness and maturity before advancing analytics or AI use cases

• BI & Analytics Platform Support

• Enable CRM Analytics (CRMA) dashboards by delivering trusted, wellstructured datasets

• Partner with BI developers and analysts to:

• Translate reporting requirements into data models

• Optimize datasets for performance and reuse

• Support metric standardization and semantic consistency across reporting solutions

• AI & Einstein Enablement

• Prepare and curate datasets used by Salesforce Einstein (e.g., predictions, discovery models)

• Support feature engineering and data readiness for AI use cases

• Collaborate with analytics and governance teams to ensure AI inputs are explainable and reliable

• 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

Qualifications -

Required Qualifications:

• Bachelor's degree or equivalent experience
• 6+ years of experience in Data Engineering or Analytics Engineering
• Solid experience with Snowflake or similar cloud data platforms
  Advanced SQL skills (complex transformations, performance optimization)
• Experience building analyticsready data models for BI tools
• Experience supporting BI and analytics platforms (CRMA, Tableau, Power BI, etc.)
• Experience with Salesforce Data Cloud and data integration patterns
• Experience supporting Einstein or AIdriven analytics use cases
• Python experience for data pipelines, automation, or advanced transformations
• Healthcare or regulated data environment experience
• Solid understanding of medallion data architecture and data maturity concepts
• Proven exposure to Salesforce CRM Analytics (CRMA) datasets or enablement

At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyoneof every race, gender, sexuality, age, location and incomedeserves 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.