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.

As a Data Engineering Consultant, you will play a critical role in designing, developing, and maintaining scalable data pipelines and cloud-based data solutions. This role emphasizes the integration of Azure Databricks, Azure Cloud services, and Snowflake, along with advanced AI/ML capabilities, including Large Language Models (LLMs) and Copilot Studio. The ideal candidate will have a Solid foundation in data engineering, cloud platforms, and a passion for building intelligent, automated, and data-driven systems.

Primary Responsibilities:

• Design, develop, and maintain scalable data pipelines using Azure Databricks
• Implement data processing workflows and ETL processes on Azure Cloud
• Integrate and manage data within Snowflake for efficient storage and retrieval
• Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and deliver solutions
• Optimize and troubleshoot data pipelines for performance and reliability
• Ensure data quality and integrity throughout the data lifecycle
• Develop and maintain documentation for data processes and workflows
• Stay up-to-date with the latest industry trends and best practices in data engineering and cloud technologies
• Collaborate with AI/ML teams to integrate machine learning models into data pipelines for predictive analytics and automation
• Support the deployment and monitoring of ML models using tools like MLflow, Azure ML, or Databricks ML
• Work with Large Language Models (LLMs) to build intelligent data solutions, including prompt engineering and API-based integration
• Leverage Microsoft Copilot Studio to create conversational AI experiences that enhance data accessibility and user interaction

• Embed LLMs into development pipelines using secure API integration, context management, and governance best practices



• 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 regard 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:

• Bachelor's or Master's degree in Computer Science, Information Technology, or a related field
• 5+ years of experience in data engineering with a Solid foundation in cloud-based data platforms and AI/ML integration
• Programming Skills: Proficiency in Python for data processing and automation, with experience in libraries such as Pandas, NumPy, and PySpark
• Cloud & Big Data: Proven experience with Azure Databricks, Azure Cloud services, and Snowflake
• Big Data Technologies: Knowledge of Apache Spark and distributed data processing
• ETL & Data Pipelines: Experience with ETL tools and building scalable, reliable data pipelines
• SQL & Databases: Solid SQL skills and familiarity with relational and cloud-native databases
• AI/ML Integration: Experience with AI/ML frameworks such as scikit-learn, TensorFlow, or PyTorch
• LLMs: Hands-on experience with LLMs (e.g., OpenAI GPT, Azure OpenAI), including prompt design, fine-tuning, and secure integration into data workflows
• Copilot Studio: Familiarity with Microsoft Copilot Studio for building and deploying conversational AI solutions
• Model Lifecycle: Understanding of ML model lifecycle: training, evaluation, deployment, and monitoring
• DevOps & CI/CD: Experience with CI/CD pipelines, version control (e.g., Git), and containerization (e.g., Docker, Kubernetes)
• Communication Skills: Solid communication and collaboration skills to work across technical and business teams
• Problem Solving: Excellent analytical and troubleshooting skills with attention to detail

Preferred Qualifications:

• Certification in Azure or related technologies
• Experience with other cloud platforms (e.g., AWS, Google Cloud)
• Exposure to data governance, security, and compliance practices in enterprise environments

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.