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 BOT Development

Design, develop, test, and deploy robust web scraping/RPA solutions for payer policy ingestion

Crawl/query payer sites to identify:

Clinical/medical policies

Prior authorization requirements

Reimbursement and supporting documentation

Extract and transform data from:

HTML (static and dynamic content)

PDFs (structured and unstructured)

Excel, CSV, Word documents

Apply data transformation techniques based on understanding of data structures to normalize outputs across payers Build reusable, scalable parsing frameworks and templates across multiple payer domains

Design solutions that

Integrate across multiple systems and data domains

Utilize appropriate tools/technologies for each use case

Support automation and future scalability

Identify opportunities to leverage AI/ML or advanced parsing techniques where applicable

BOT Maintenance & Change Detection

Independently monitor payer sources to:

Detect new policies

Identify updates/changes to existing policies

Maintain and enhance bots for:

Structural website changes

New document types

Updated policy formats

Perform data validation and quality assurance:

Detect extraction inconsistencies

Tune parsing logic

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 → delivery

Build and maintain scalable ETL/ELT processes for structured and unstructured data

Develop standardized schemas and models for:





Policy metadata

Authorization rules

Code-level requirements (CPT, HCPCS, ICD)

Deliver structured outputs (JSON/CSV/API payloads) to:

AWS S3

Dataverse / enterprise systems

Enable multi-domain data modeling and normalization across heterogeneous payer sources

Implement logging, monitoring, and instrumentation to detect pipeline failures and data quality issues early

Solution Engineering & Automation

Design solutions considering

Scalability

Reliability

Security

Performance

Build automatable services and reusable components rather than one-off scripts

Evaluate and recommend tools/frameworks for:

Web scraping

Document parsing

Workflow orchestration

Collaborate with stakeholders to ensure solutions maximize business value

Data Quality, Governance & Documentation

Maintain high-quality data outputs aligned to enterprise standards

Create and maintain

Data definitions

Transformation logic

Mapping documentation

Proactively identify

Data quality issues

Root causes of extraction inconsistencies

Continuously improve solution quality through pattern detection and optimization

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 Technical Skills





Advanced experience with

XPath / CSS selectors

Regular expressions (regex)

Experience with

Web scraping frameworks (Selenium, Playwright, Scrapy, etc.)

PDF parsing / OCR tools

Programming

Python (preferred) or C#

Solid knowledge of

HTML, DOM structure, JavaScript rendering

XML/JSON data modeling and schema design

Familiarity with

ETL/ELT pipeline design

Cloud storage (AWS S3 or Azure equivalents)

API integrations

Data Engineering Capabilities

Experience designing

Data models across systems

Cross-domain integration pipelines

Solid analytical skills

Ability to break down complex data problems and large datasets into usable outputs

Ability to

Work independently across the data lifecycle

Design scalable data solutions across multiple domains

Apply data transformation techniques based on data structures

Select appropriate tools and technologies for different use cases

Business & Domain Skills

Understanding of

Healthcare payer policy structures (preferred)

Prior authorization workflows (preferred)

Ability to

Connect technical solutions to business value

Identify opportunities for automation and efficiency improvements

Quality, Security & Engineering Practices

Experience implementing

Data validation and QA processes

Secure data handling practices

Ability to

Identify and enforce data standards and controls

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 valuable 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.

📌 Senior Software Engineering Lead - BOT Developer, RPA (Noida)
🏢 Optum India
📍 Noida