Senior 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 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:

• Develop data pipelines in a Python/PySpark environment to transform disparate data into business ready data sets
• Partner with developers and testers in an Agile Scrum framework to communicate, refine, and validate requirements and solutions
• Analyze and document new and existing data interfaces within the Surest data platform
• Understand vendor and Surest capabilities and data to create data definitions, transformation logic, and data storage options based on business requirements
• Collaborate with product owners, analysts, and vendors to build and document complex business logic across both responsibility areas and data integration across the platform
• Translate complex concepts to messaging that can be understood by broader audiences
• 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:

• Undergraduate degree or equivalent experience
• Overall 10+ years experience 
• 5+ years PySpark & Python data development and testing experience
• 5+ years of SQL or NoSQL query experience
• Experience in a big data environment building data processing pipelines

Preferred Qualifications:

• Familiarity with database design principles
• Experience attending and participating in scrum agile ceremonies
• Experience working with healthcare data
• Expertise in troubleshooting complex data questions
• Proven excellent interpersonal and communication skills, both written and verbal
• Ability to work independently to identify, solve and communicate data processing, storage and structural challenges

Preferred Qualifications:

• Experience with Cloud/AWS 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.