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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 diversity and inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health equity on a global scale. Join us to start Caring. Connecting. Growing together.

Primary Responsibilities:

• Design innovative and best in class Data Architectures that comply with industry best practice and enterprise standards.

• Plan and manage data Ingress and Egress process implementations for platform development.

• Develop data pipelines to ingest and transform data using clean coding principles.

• Data Platform support in line with business SLA’s and MLRB (ML review board)

• Partner with Data Science, Engineers, and Product leaders to design standards for developing and deploying data analytic pipelines.

• Create roadmap and features for engineering to support development of robust recurring data ingress and egress process.

• Partner with Infrastructure leaders on architecture approaches to advance the data and AIML platform, including exploring tools and techniques that leverage the cloud environment (Azure, Snowflake, SDRP and others)

• Comply with data governance and data security regulations and policies.

• Understand & adhere to data integrity practices guided by enterprise security standards.

• Support the development of automated data ingestion capability for cloud agnostic platform that is auto scalable.

Required Qualifications:

• Bachelor’s Degree or higher in Database Management, Information Technology, Computer Science or similar

• 3 to 5 years of technical data management experience

• Strong knowledge of various data engines and experience in building scalable data solutions

• Enterprise platform or Data Architectural experience

• Experience with data engineering, azure ML, data bricks, spark, python, and AI/ML.

• Data Platforms and RDBMS with NoSQL, NewSQL and Data Streaming technology experience

• Data Integration Tools and Technologies

• Data Intelligence (AI / ML) and Data Science skills, tools, and technologies

• Experience using cloud database technologies (AWS, GCP, Azure)

• Experience with exposure to EDI, HIPAA, HL7 and FHIR integration standards

• Experience with Data Quality and Data Security process, tools, and technologies (DeeQu, Great Expectations etc.)

• Metadata management and Data Catalog management process, tools, and technologies (Hive Meta Store, Unity Catalog etc.)

• Exceptional soft skills – Analytical skills, Communication skills; Ability to influence outcomes without authority; Strategic thinking; Results orientation; Ability to learn fast; Teamwork and collaboration skills.

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.