Design, develop, and maintain scalable ETL (Extract, Transform, Load) pipelines to process large volumes of healthcare data. Build and manage data workflows using Python programming and Structured Query Language (SQL) to automate data ingestion, transformation, and validation. Work with U.S. healthcare datasets including Medicaid, Medicare, and Commercial healthcare claims, member, plan, and provider data. Ensure high data quality, accuracy, and consistency through validation rules, reconciliation checks, and error-handling mechanisms.
Responsibilities- Develop and maintain analytical datasets and data models to support payer analytics use cases such as claims processing, payment analysis, utilization management, and fraud detection.
- Optimize data processing performance and efficiency for large-scale datasets.
- Collaborate with cross-functional teams including data scientists, analytics teams, product owners, and business stakeholders to gather requirements and translate them into technical solutions.
- Document data pipelines, workflows, data definitions, and technical processes to support audits, onboarding, and knowledge sharing.
- Ensure secure handling of Protected Health Information (PHI) and adherence to HIPAA regulations through established data security and privacy practices.
- Participate in Agile software development processes and contribute to continuous improvement initiatives.
- Position may work at various and unanticipated worksites throughout the United States. Telecommuting permitted.
Requires Bachelor’s degree in Technology, Information Technology or a related field plus four (4) years of Experience in healthcare data domain. Must have four (4) years of experience in the following: Python Programming, Structured Query Language, Working with healthcare data such as claims, member, plan, or provider data, HIPAA compliance and handling of Protected Health Information (PHI), Data performance optimization techniques, including large-scale data processing and cost optimization strategies, Supporting advanced healthcare analytics use cases.
40 hours/week, 9:00am-5:00pm, Salary range: $143,000 to $145,000 per year
To apply: Send resume and cover letter to [email protected]. Must cite job title and code EXL75 in response. This notice is subject to ExlService.com, LLC's employee referral program. EEO/Minorities/Females/Vets/Disabilities.
Skills Required
- Bachelor's degree in Technology, Information Technology or a related field plus four (4) years of experience in the healthcare data domain
- Four (4) years of Python programming experience
- Four (4) years of Structured Query Language (SQL) experience
- Four (4) years working with healthcare data (claims, member, plan, or provider data)
- Four (4) years experience with HIPAA compliance and handling of Protected Health Information (PHI)
- Four (4) years experience with data performance optimization techniques for large-scale data processing and cost optimization strategies
- Four (4) years supporting advanced healthcare analytics use cases (claims processing, payment analysis, utilization management, fraud detection)
- Design, develop, and maintain scalable ETL pipelines and data workflows
What We Do
Choosing a digital partner is about more than capabilities — it’s about collaboration and character. Unrealistic overhauls and off-the-shelf products ignore what matters most — your unique needs, culture, goals, and your legacy data and technology environments. At EXL, our collaboration is built on ongoing listening and learning to adapt our methodologies. We’re your business evolution partner—tailoring solutions that make the most of data to make better business decisions and drive more intelligence into your increasingly digital operations. Whether your goals are scaling the use of AI and digital, redesign operating models, or driving better and faster decisions, we’re here to partner with you to help you gain—and maintain—competitive advantage with efficient, sustainable models at scale. Our expertise in transformation, data science, and change management helps make your business more efficient and effective, improve customer relationships and enhance revenue growth. Instead of focusing on multi-year, resource- and time-intensive platform designs or migrations, we look deeper at your entire value chain to integrate strategies with impact. We use our specialization in analytics, digital interventions, and operations management—alongside deep industry expertise — to deliver solutions that help you outperform the competition. At EXL, it’s all about outcomes—your outcomes—and delivering success on your terms. Share your goals with us and together, we’ll optimize how you leverage data to drive your business forward. For more information, visit www.exlservice.com.
