Senior Software Engineering Lead - BOT Developer, RPA

Posted Yesterday
Be an Early Applicant
Noida, Gautam Buddha Nagar, Uttar Pradesh, IND
In-Office
Senior level
Artificial Intelligence • Big Data • Healthtech • Information Technology • Machine Learning • Software • Analytics
The Role
Lead design, development, deployment, and maintenance of scalable web-scraping/RPA bots and end-to-end data pipelines to ingest, parse, normalize, and deliver payer policy data. Build reusable parsing frameworks, handle PDFs/HTML/CSVs, implement data validation, monitoring, and integrate outputs to cloud and enterprise systems. Collaborate on solution architecture, select tools, and ensure data quality, security, and scalability.
Summary Generated by Built In
Requisition Number: 2380607
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 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.

Skills Required

  • Advanced experience with XPath and CSS selectors
  • Advanced experience with Regular expressions (regex)
  • Experience with web scraping frameworks (Selenium, Playwright, Scrapy)
  • Experience with PDF parsing and OCR tools
  • Programming: Python or C#
  • Python (preferred)
  • Solid knowledge of HTML, DOM structure, and JavaScript rendering
  • XML/JSON data modeling and schema design
  • Familiarity with ETL/ELT pipeline design
  • Experience with cloud storage (AWS S3 or Azure equivalents)
  • API integration experience
  • Experience designing cross-system data models and integration pipelines
  • Strong analytical skills for breaking down complex data problems
  • Experience implementing data validation, QA processes, and secure data handling
  • Understanding of healthcare payer policy structures
  • Familiarity with prior authorization workflows

What the Team is Saying

Optum Compensation & Benefits Highlights

  • Healthcare Strength Official materials highlight copay and HSA medical plan choices with in‑network preventive care at 100%, prescription coverage, and low/no‑cost virtual visits, plus company HSA contributions. Dental preventive services are 100% in network, and mental health resources include an EAP and premium Calm access.
  • Parental & Family Support Programs include six weeks paid parental leave, up to two weeks paid caregiver leave, and Bright Horizons back‑up care with enhanced family supports. Adoption assistance up to $10,000 for full‑time employees reinforces family‑oriented benefits.
  • Equity Value & Accessibility Financial benefits include an Employee Stock Purchase Plan at a 10% discount, expanding access to equity ownership.

Optum Insights

Am I A Good Fit?
beta
Get Personalized Job Insights.
Our AI-powered fit analysis compares your resume with a job listing so you know if your skills & experience align.

The Company
HQ: Eden Prairie, MN
160,000 Employees
Year Founded: 2011

What We Do

Optum, part of the UnitedHealth Group family of businesses, 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. At Optum, we support your well-being with an understanding team, extensive benefits and rewarding opportunities. By joining us, you’ll have the resources to drive system transformation while we help you take care of your future. We recognize the power of connection to drive change, improve efficiency and make a difference in health care. Join a team where your skills and ideas can make an impact and where collaboration is key to creating technology that produces healthier outcomes.

Gallery

Gallery
Gallery
Gallery

Optum Offices

Hybrid Workspace

Employees engage in a combination of remote and on-site work.

Optum has three workplace models that balance the needs of the business and the responsibilities of each role. These models, core on‑site (5 days/week), hybrid (4 days/week) and telecommute or fully remote, vary by country, role and location.

Typical time on-site: Not Specified
HQEden Prairie, MN
Metro Manila, Philippines
Cebu, Philippines
Davao, Philippines
Ann Arbor, MI
Atlanta, GA
Baltimore, MD
Bengaluru, India
Chennai, India
Dallas, TX
Detroit, MI
Dublin, Ireland
Hartford, CT
Houston, TX
Hyderabad, India
Jacksonville, FL
Las Vegas, NV
Letterkenny, Ireland
Louisville, KY
Madison, WI
Minneapolis, MN
Nashville, TN
New Delhi, India
Philadelphia, PA
Phoenix, AZ
Pune, India
Raleigh, NC
San Diego, CA
Washington, DC
Learn more

Similar Jobs

Optum Logo Optum

Machine Learning Engineer

Artificial Intelligence • Big Data • Healthtech • Information Technology • Machine Learning • Software • Analytics
In-Office
Noida, Gautam Buddha Nagar, Uttar Pradesh, IND
160000 Employees

Optum Logo Optum

Data Engineering Manager

Artificial Intelligence • Big Data • Healthtech • Information Technology • Machine Learning • Software • Analytics
In-Office
Noida, Gautam Buddha Nagar, Uttar Pradesh, IND
160000 Employees

Optum Logo Optum

Data Analyst

Artificial Intelligence • Big Data • Healthtech • Information Technology • Machine Learning • Software • Analytics
In-Office
Noida, Gautam Buddha Nagar, Uttar Pradesh, IND
160000 Employees

Optum Logo Optum

Senior Data Scientist

Artificial Intelligence • Big Data • Healthtech • Information Technology • Machine Learning • Software • Analytics
In-Office
Noida, Gautam Buddha Nagar, Uttar Pradesh, IND
160000 Employees

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account