Data Engineer

EXL•United States,

About The Position

EXL is a leading data analytics and digital operations and solutions company. We partner with clients using a data and AI-led approach to reinvent business models, drive better business outcomes and unlock growth with speed. EXL harnesses the power of data, analytics, AI, and deep industry knowledge to transform operations for the world’s leading corporations in industries including insurance, healthcare, banking and financial services, media and retail, among others. EXL was founded in 1999 with the core values of innovation, collaboration, excellence, integrity and respect. We are headquartered in New York and have more than 54,000 employees spanning six continents. EXL is the indispensable partner for leading businesses in data-led industries such as insurance, banking and financial services, healthcare, retail and logistics. We bring a unique combination of data, advanced analytics, digital technology and industry expertise to help our clients turn data into insights, streamline operations, improve customer experience, and transform their business. Our partnerships with clients are built on a foundation of collaboration – and we’ve been chosen as a partner by nine of the top ten leading US insurance companies, nine of the top 20 global banks, and six of the top ten US health care payers. We function as one team to make your goals our goals, whether that’s unlocking the value of generative AI or embedding analytics into workflows that reduce risk or power your growth. Clients choose EXL as their transformation partner for many reasons. Our geographic diversity make talent all over the world instantly accessible. Digital accelerators enable unmatched speed-to-value, letting you realize results fast. It’s our people that truly set us apart, though, including the 1,500 data scientists we have dedicated to our generative AI practice. And our more than twenty years of experience in delivering business services, garnering stellar client references, and maintaining a solid balance sheet are reassuring to our C-suite clients. Find out for yourself why clients, employees, and analysts think we’re some of the best in the business. Contact us to see how we can help you achieve your goals.

Requirements

Strong hands-on experience with Python for data engineering and backend development
Experience with data processing frameworks and libraries (Pandas, PySpark, Airflow, SQLAlchemy, etc.)
Basic to strong experience with React.js frontend development
Experience building scalable ETL/ELT pipelines and production-grade data applications
Strong understanding of REST APIs and system integrations
Experience working with relational and/or NoSQL databases
Experience with data warehousing, data modeling, and large-scale data processing
Familiarity with cloud platforms and data services (AWS, Azure, or GCP preferred)
Ability to work in ambiguous, real-world problem spaces
Strong communication skills with technical and non-technical stakeholders
Bachelor’s degree in Computer Science, Engineering, or equivalent experience

Nice To Haves

Prior experience in healthcare technology or healthcare systems
Familiarity with HL7, FHIR, or EHR systems (e.g., Epic, Cerner)
Experience working with healthcare workflows (clinical, operational, or administrative systems)
Exposure to regulated environments (HIPAA, security-sensitive systems)
Experience with big data technologies and distributed processing systems
Experience building analytics dashboards or data visualization platforms
Experience working with enterprise-scale data platforms and pipelines

Responsibilities

Build and maintain data-driven web applications using Python (backend/data engineering) and React (frontend)
Design and develop scalable data pipelines, APIs, and frontend dashboards for healthcare workflows
Build ETL/ELT pipelines to process clinical, operational, and healthcare datasets
Work with healthcare data systems including EHR integrations and healthcare interoperability platforms
Develop internal tools, analytics platforms, and operational dashboards for clinicians, administrators, and healthcare operations teams
Integrate with healthcare data standards and systems (e.g., HL7, FHIR, Epic, Cerner environments where applicable)
Design and optimize data models, warehouses, and data processing workflows
Translate healthcare operational and reporting requirements into scalable data solutions
Ensure applications and data platforms meet security, privacy, and compliance requirements (HIPAA-aligned environments)
Monitor, debug, optimize, and maintain production data systems and applications
Collaborate with cross-functional stakeholders including data analysts, clinicians, operations teams, and software engineers