Data Engineer - Remote

About the position

At UnitedHealthcare, we're simplifying the health care experience, creating healthier communities and removing barriers to quality care. The work you do here impacts the lives of millions of people for the better. Come build the health care system of tomorrow, making it more responsive, affordable and equitable. Ready to make a difference? Join us to start Caring. Connecting. Growing together. Position in this function design, develops, implements and run data solutions that improve data efficiency, reliability and quality; Design, develop, implement and run cross-domain, modular, optimized, flexible, scalable, secure, reliable and quality data solutions that transform data for meaningful analyses and reporting; Build processes to troubleshoot, maintain and optimize solutions and respond to customer and production issues; Maintain high quality documentation of data definitions, transformations, and processes to ensure data governance and security; Identify solutions to non-standard requests and problems. You'll work closely with business leaders to develop innovative analytic solutions, create actionable insights and drive better decisions and performance to help Government Operation fulfill its mission. You'll enjoy the flexibility to work remotely from anywhere within the U.S. as you take on some tough challenges.

Responsibilities

• Develop innovative analytic solutions, create actionable insights and drive better decisions and performance to help the business achieve its business objectives
• Support operational analytics, reporting and process improvement data deep dive, identify and execute on new opportunities for increases in efficiencies and performance
• Data transformation to support front-end reporting analytics, along with ability to understand and utilize ETL 'back end' data transformation, development, and configuration
• Analyze technical and domain related issues in live applications, support business queries and questions related to application output and business logic
• Data quality - develop QA processes; create validation and test scenarios and datasets; validate results against data sources and expected business trends; root cause analysis into why trends differ; test & QA data loading, ETL, and reporting processes
• Develop visionary and creative analytic solutions to measure business performance; identifies / quantifies drivers, risks and opportunities and defines solutions to mitigate risks and leverage opportunities
• Influences senior leadership to adopt new ideas, projects and / or approaches

Requirements

• 3+ years of experience with relational databases, including MS SQL Server, Oracle, Teradata, IBM DB2, or MySQL
• 3+ years in reporting and analysis, data management, and reconciliation
• 3+ years of experience with ETL/Data Warehouse concepts, handling large volumes of data, and using ETL tools
• 2+ years working with Cloud Technologies
• Experience with data visualization, utilizing tools like Tableau or PowerBI
• Proven solid ability to analyze and comprehend data within its business context, map or extend existing data models, and design new structures
• Proven track record of deriving successful business solutions from analysis and deep learning

Nice-to-haves

• Experience with advanced analytical tools (Python / R / Tiger Graph)
• Experience with Healthcare Exchange / Marketplace / Medicaid / Medicare
• Experience in data process map, workflow, user acceptance testing, and database management

Benefits

• Comprehensive benefits package
• Incentive and recognition programs
• Equity stock purchase
• 401k contribution