Remote Databricks Architect Jobs in Minnesota (NOW HIRING)

Optum Tech is a global leader in health care innovation. Our teams develop cutting-edge solutions that help people live healthier lives and help make the health system work better for everyone. From advanced data analytics and AI to cybersecurity, we use innovative approaches to solve some of health care's most complex challenges. Your contributions here have the potential to change lives. Ready to build the next breakthrough? Join us to start Caring. Connecting. Growing together.

We are seeking a Senior AI/ML Software Engineer to build AI-powered data products and modern digital experiences across our analytics and healthcare platforms. This is a hands-on full-stack engineering role focused on developing intelligent applications for Compass reporting and the Quality & Patient Safety (QPS) platform. The individual will be responsible for building frontend experiences, backend services, AI/ML capabilities, and cloud-native data solutions that enable self-service analytics, operational insights, and quality improvement initiatives.

You'll enjoy the flexibility to work remotely * from anywhere within the U.S. as you take on some tough challenges.

For all hires in the Minneapolis or Washington, D.C. area, you will be required to work in the office a minimum of four days per week.

Primary Responsibilities:

• Design, develop, and deploy AI/ML and Generative AI solutions using LLMs, RAG, agents, and modern AI frameworks
• Build scalable full-stack applications using React, TypeScript, JavaScript, Java/Spring Boot, Python, REST APIs, and SQL
• Develop intuitive user experiences, dashboards, reporting solutions, and AI-enabled workflows
• Build and enhance self-service analytics, reporting, and data exploration capabilities
• Develop applications supporting quality, patient safety, benchmarking, insights, action management, and workflow automation
• Integrate applications with enterprise data platforms and cloud-native data ecosystems
• Design and implement microservices, APIs, data models, and event-driven architectures
• Apply engineering best practices including CI/CD, automated testing, observability, security, and performance optimization
• Collaborate with product, analytics, business, and platform teams to deliver high-quality solutions
• Provide technical leadership, mentor engineers, and contribute to architecture and technology decisions

You'll be rewarded and recognized for your performance in an environment that will challenge you and give you clear direction on what it takes to succeed in your role as well as provide development for other roles you may be interested in. 
 

Required Qualifications:

• Bachelor's in Computer Science, Engineering, AI/ML, Data Science, related field, or the equivalent experience
• 6 years of hands-on software engineering experience building enterprise-scale applications
• 4 years of hands-on experience in React, TypeScript, JavaScript, Java/Spring Boot, Python, REST APIs, and SQL
• 1 years of experience in designing, developing, and deploying AI/ML and Generative AI solutions in production environments
• 2 years of experience with LLMs, RAG architectures, vector databases, prompt engineering, AI agents, and AI application development
• 4 years of experience building cloud-native applications on Azure, AWS, or GCP
• 3 years of experience with modern data platforms such as Snowflake, Databricks, or Microsoft Fabric
• 4 years of experience with microservices, distributed systems, CI/CD, automated testing, observability, and software engineering best practices
• Excellent problem-solving, communication, and collaboration skills

Preferred Qualifications:

• Experience in healthcare, analytics, quality, patient safety, or reporting domains
• Experience with Apache Superset, Power BI, embedded analytics, or self-service BI platforms
• Experience with LangChain, Semantic Kernel, OpenAI, Azure AI Services, or similar AI frameworks
• Experience leading technical initiatives and mentoring engineers

*All employees working remotely will be required to adhere to UnitedHealth Group's Telecommuter Policy

Pay is based on several factors including but not limited to local labor markets, education, work experience, certifications, etc. In addition to your salary, we offer benefits such as, a comprehensive benefits package, incentive and recognition programs, equity stock purchase and 401k contribution (all benefits are subject to eligibility requirements). No matter where or when you begin a career with us, you'll find a far-reaching choice of benefits and incentives. The salary for this role will range from $120,100 - $214,500 annually based on full-time employment. We comply with all minimum wage laws as applicable.

Application Deadline: This will be posted for a minimum of 2 business days or until a sufficient candidate pool has been collected. Job posting may come down early due to volume of applicants.

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.  

UnitedHealth Group is an Equal Employment Opportunity employer under applicable law and qualified applicants will receive consideration for employment without regard to race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, or protected veteran status, or any other characteristic protected by local, state, or federal laws, rules, or regulations.

UnitedHealth Group is a drug - free workplace. Candidates are required to pass a drug test before beginning employment.  

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