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. We are seeking a highly skilled and experienced Senior Data Engineer to join our dynamic team. The ideal candidate will have a strong background in Python, Azure, CI/CD, deployment, and writing efficient data pipelines. You will be responsible for designing, developing, and maintaining robust data infrastructure and pipelines that support our data-driven decision-making processes. Primary Responsibilities: Data Pipeline Development: Design, develop, and maintain efficient and scalable data pipelines using Python and Azure technologies Data Integration: Integrate data from various sources, ensuring data quality and consistency Azure Cloud Services: Utilize Azure cloud services for data storage, processing, and analytics, including Azure Data Factory, Azure Databricks, and Azure SQL Database CI/CD Implementation: Implement and manage CI/CD pipelines to automate the deployment of data solutions Data Modeling: Develop and maintain data models to support business intelligence and analytics needs Performance Optimization: Optimize data processing and storage solutions for performance and cost-efficiency Collaboration: Work closely with data scientists, analysts, and other stakeholders to understand data requirements and deliver solutions that meet business needs Documentation: Create and maintain comprehensive documentation for data pipelines, processes, and solutions Troubleshooting: Identify and resolve data-related issues and bottlenecks 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: Bachelor's or Master's degree in Computer Science, Information Technology, or equivalent in related field 7+ years of experience in data engineering, with a solid focus on Python, Azure, CI/CD, and deployment Proficiency in Python for data processing and automation Experience with Azure cloud services (Azure Data Factory, Azure Databricks, Azure SQL Database, etc.) Experience with containerization and orchestration tools (e.g., Docker, Kubernetes) Knowledge of SQL and NoSQL databases Familiarity with data warehousing concepts and technologies Solid understanding of CI/CD principles and tools (e.g., Jenkins, GitLab CI/CD) Proven excellent problem-solving and analytical skills Proven solid communication and collaboration abilities Proven ability to work independently and as part of a team Proven detail-oriented with a focus on quality and accuracy Design, develop, and deploy AI-powered solutions using no-code, low-code, and advanced platforms, translating business needs into scalable applications that enhance products, workflows, and decision-making. 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.