Associate Software Engineering Manager

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:

• Data Architecture and Engineering
  • Design and optimize database architecture, data models, and schemas
  • Implement and maintain data pipelines (ETL/ELT) for large-scale data processing 
• Platform and Cloud Solutions
  • Develop and manage data solutions on PaaS and cloud ecosystems
  • Ensure scalability, security, and performance of data platforms 
• Data Quality and Compliance
  • Perform needs assessments and enforce strict data quality standards
  • Support compliance with organizational and regulatory requirements 
• Development and Deployment
  • Build and deploy optimized solutions using Big Data technologies
  • Collaborate with Data Scientists and Analysts to deliver AI/ML-driven solutions 
• Collaboration and Leadership
  • Lead projects independently, manage technical deliveries, and mentor junior engineers
  • Drive knowledge-sharing sessions and capability development within the team 
• Vendor and Stakeholder Management
  • Manage relationships with software/hardware vendors for architectural impact
  • Work closely with enterprise teams for requirement gathering and solution design
• 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, Data Engineering, or related field
• 5+ years of experience in data engineering, ETL development, and big data platforms
• Technical Skills
  • Experience with cloud platforms (AWS, Azure, GCP) and PaaS solutions
  • Familiarity with CI/CD, DevOps, and ML Ops workflows
  • Expertise in Big Data technologies (Hadoop, Spark) and data warehousing
  • Solid proficiency in SQL, Python, and Java
  • Proficiency in SQL, Java, Python, Big Data frameworks, and cloud technologies
  • Familiarity with data warehousing, storage engineering, and analytics platforms
• Data Management
  • Knowledge of data modeling, schema design, and metadata management
  • Demonstrated ability to implement data security, governance, and compliance standards
  • Proven skilled in building and automating data pipelines for batch and real-time processing

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.

#Gen