Sr Data Engineer

About Us

Zelis is modernizing the healthcare financial experience in the United States (U.S.) across payers, providers, and healthcare consumers. We serve more than 750 payers, including the top five national health plans, regional health plans, TPAs and millions of healthcare providers and consumers across our platform of solutions. Zelis sees across the system to identify, optimize, and solve problems holistically with technology built by healthcare experts – driving real, measurable results for clients.

Why We Do What We Do

In the U.S., consumers, payers, and providers face significant challenges throughout the healthcare financial journey. Zelis helps streamline the process by offering solutions that improve transparency, efficiency, and communication among all parties involved. By addressing the obstacles that patients face in accessing care, navigating the intricacies of insurance claims, and the logistical challenges healthcare providers encounter with processing payments, Zelis aims to create a more seamless and effective healthcare financial system.

Zelis India plays a crucial role in this mission by supporting various initiatives that enhance the healthcare financial experience. The local team contributes to the development and implementation of innovative solutions, ensuring that technology and processes are optimized for efficiency and effectiveness. Beyond operational expertise, Zelis India cultivates a collaborative work culture, leadership development, and global exposure, creating a dynamic environment for professional growth. With hybrid work flexibility, comprehensive healthcare benefits, financial wellness programs, and cultural celebrations, we foster a holistic workplace experience. Additionally, the team plays a vital role in maintaining high standards of service delivery and contributes to Zelis’ award-winning culture.

Position Overview

Senior Data Engineer –

Experience with 8-12yrs of Experience

Experience (internships, academic projects, or entry-level roles) in designing and developing data pipelines.

Exposure to Cloud data warehouse - Snowflake through coursework, projects, or training.

Basic understanding of ETL tools like Azure Data Factory, Fivetran, or DBT (hands-on experience in academic settings or internships preferred).

Familiarity with Git and Azure DevOps for version control and CI/CD processes.

Understanding of Agile methodologies, Jira, and Confluence.

Knowledge of SQL programming (views, functions, stored procedures); ability to write and optimize basic SQL queries.

Exposure to Azure architecture and Data Lake concepts.

Eager to learn, with a proactive approach to problem-solving.

Ability to understand business requirements and ask the right questions to clarify tasks.

Basic understanding of performance tuning and handling moderate-sized data transformations.

Ability to create simple data flows and assist in solution design under guidance.

Willingness to contribute to documentation (e.g., mapping, defect logs).

Bachelor's degree in Computer Science, Statistics, or a related field.

Strong foundational knowledge of SQL for querying databases.

Primary: Snowflake, DBT (development & testing)

Secondary: Python, ETL tools, or any data processing framework

Nice to have: Basic understanding of healthcare data and domain-specific concepts