Data Engineering Manager - Python, Databricks, Cloud Architecture

Requisition Number: 2363639
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:

• Design, build, and maintain scalable data pipelines and platforms using advanced programming languages, and cloud data warehouses (e.g., Redshift, Snowflake)
• Develop resilient data architectures across data warehouses, lakes, and streaming environments to support enterprise analytics and reporting
• Ensure enterprise data security, governance, quality, and standardization across all data and analytics solutions
• Lead the end to end delivery of analytics data products, from design and development through production support and optimization
• Collaborate with business stakeholders and engineering partners to enable business intelligence, advanced analytics, and machine learning solutions
• Mentor and guide a team of data engineers, driving best practices, technical excellence, and continuous improvement
• Functions may include database architecture, engineering, design, optimization, security, and administration; as well as data modeling, big data development, Extract, Transform, and Load (ETL) development, storage engineering, data warehousing, data provisioning and other similar roles
• Responsibilities may include Platform-as-a-Service and Cloud solution with a focus on data stores and associated eco systems
• Management of design services, providing sizing and configuration assistance, ensuring strict data quality, and performing needs assessments
• Analyzes current business practices, processes and procedures as well as identifying future business opportunities for leveraging data storage and retrieval system capabilities
• Manages relationships with software and hardware vendors to understand the potential architectural impact of different vendor strategies and data acquisition
• May design schemas, write SQL or other data markup scripting and helps to support development of Analytics and Applications that build on top of data
• Selects, develops and evaluates personnel to ensure the efficient operation of the function
• Manages and is accountable for professional employees and/or supervisors
• Impact of work is most often at the local level
• 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 in Computer Science, Engineering, or a related field. Typically 8+ years of relevant experience
• Big Data/Distributed Systems: Experience with Apache Spark, Databricks, Snowflake, AWS Redshift or Kafka
• Data Architecture: Experience with data modeling, warehousing (e.g., Snowflake), and ETL/ELT best practices
• Cloud Platforms: Exhaustive experience of working with Azure cloud services
• Data Pipelines: Knowledge of designing, building, and optimizing ETL/ELT pipelines
• Tools & DevOps: Familiarity with orchestration tools (Airflow), CI/CD, Git, and Linux (Shell Scripting)
• Languages: Solid expertise in Python and/or Scala/Java
• SQL & Data Modeling: Advanced SQL skills for data manipulation and performance tuning
• Soft Skills & Leadership: Proven solid communication, collaboration, and the ability to mentor junior engineers

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.