Senior Data Engineering Analyst

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, build and maintain the infrastructure and systems that enable the collection, storage, processing and analysis of large datasets
• Design, construct and manage scalable data pipelines that move and transform data from different sources
• Automate the process of data collections, processing and curation to ensure efficient data workflow
• Setup and manage the infrastructure for large-scale data storage (e.g. Cloud Storage, data lakes, data warehouses) to ensure scalability, security and accessibility
• Design and manage relational (SQL) and non-relational (NoSQL) databases optimizing their performance and security
• Develop and maintain ETL/ELT using Cloud technologies (e.g. Azure Databricks, Azure Data Factory)
• Ensure data quality by implementing validation checks, de-duplication processes and resolving data inconsistencies
• Work closely with data scientists, business analysts & product owners, and software engineers to ensure data infrastructure meets business needs
• Translate business requirements into technical specifications for data processing and transformation
• Optimize database queries and data processing jobs to improve performance and reduce cloud costs
• Implement measures to ensure data security and storage compliance with relevant regulations (e.g. HIPAA)
• 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 Degree with 5+ years of experience in Data Engineering role
• Experience with SQL (e.g. SQL Server, Synapse, Snowflake) and no-SQL databases
• Expertise in Azure Cloud, Azure Data Lake, Azure Databricks and Azure Data Factory
• Knowledge of version control systems like Git
• Proficiency in programming languages commonly used for data engineering (e.g. Python, Java, Scale, SQL)
• Proven ability to design and implement efficient data models for transactional and reporting systems
• Proven ability to diagnose issues in data pipelines and develop efficient solutions
• Proven ability to clearly explain technical solutions to non-technical and semi-technical stakeholders

Preferred Qualification:

• Experience with RxClaim data

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.