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:
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BOT Development
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Design, develop, test, and deploy robust web scraping/RPA solutions for payer policy ingestion
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Crawl/query payer sites to identify:
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Clinical/medical policies
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Prior authorization requirements
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Reimbursement and supporting documentation
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Extract and transform data from:
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HTML (static and dynamic content)
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PDFs (structured and unstructured)
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Excel, CSV, Word documents
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Apply data transformation techniques based on understanding of data structures to normalize outputs across payers
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Build reusable, scalable parsing frameworks and templates across multiple payer domains
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Design solutions that:
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Integrate across multiple systems and data domains
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Utilize appropriate tools/technologies for each use case
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Support automation and future scalability
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Identify opportunities to leverage AI/ML or advanced parsing techniques where applicable
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BOT Maintenance & Change Detection
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Independently monitor payer sources to:
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Detect new policies
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Identify updates/changes to existing policies
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Maintain and enhance bots for:
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Structural website changes
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New document types
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Updated policy formats
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Perform data validation and quality assurance:
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Detect extraction inconsistencies
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Tune parsing logic
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Serve as escalation point for complex extraction or parsing challenges (within scope)
Data Engineering & Pipeline Development
Design and implement end-to-end data pipelines:
Data ingestion transformation normalization-
Build and maintain scalable ETL/ELT processes for structured and unstructured data
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Develop standardized schemas and models for:
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Policy metadata
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Authorization rules
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Code-level requirements (CPT, HCPCS, ICD)
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Deliver structured outputs (JSON/CSV/API payloads) to:
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AWS S3
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Dataverse / enterprise systems
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Enable multi-domain data modeling and normalization across heterogeneous payer sources
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Implement logging, monitoring, and instrumentation to detect pipeline failures and data quality issues early
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Solution Engineering & Automation
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Design solutions considering:
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Scalability
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Reliability
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Security
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Performance
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Build automatable services and reusable components rather than one-off scripts
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Evaluate and recommend tools/frameworks for:
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Web scraping
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Document parsing
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Workflow orchestration
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Collaborate with stakeholders to ensure solutions maximize business value
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Data Quality, Governance & Documentation
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Maintain high-quality data outputs aligned to enterprise standards
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Create and maintain:
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Data definitions
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Transformation logic
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Mapping documentation
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Proactively identify:
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Data quality issues
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Root causes of extraction inconsistencies
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Continuously improve solution quality through pattern detection and optimization
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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:
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Technical Skills
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Advanced experience with:
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XPath / CSS selectors
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Regular expressions (regex)
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Experience with:
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Web scraping frameworks (Selenium, Playwright, Scrapy, etc.)
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PDF parsing / OCR tools
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Programming:
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Solid knowledge of:
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HTML, DOM structure, JavaScript rendering
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XML/JSON data modeling and schema design
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Familiarity with:
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ETL/ELT pipeline design
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Cloud storage (AWS S3 or Azure equivalents)
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API integrations
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Data Engineering Capabilities
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Experience designing:
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Data models across systems
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Cross-domain integration pipelines
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Solid analytical skills:
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Ability to break down complex data problems and large datasets into usable outputs
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Ability to:
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Work independently across the data lifecycle
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Design scalable data solutions across multiple domains
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Apply data transformation techniques based on data structures
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Select appropriate tools and technologies for different use cases
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Business & Domain Skills
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Understanding of:
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Healthcare payer policy structures (preferred)
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Prior authorization workflows (preferred)
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Ability to:
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Connect technical solutions to business value
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Identify opportunities for automation and efficiency improvements
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Quality, Security & Engineering Practices
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Experience implementing:
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Data validation and QA processes
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Secure data handling practices
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Ability to:
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Identify and enforce data standards and controls
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Monitor and maintain pipeline performance and reliability
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.
