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EXL Talent Acquisition Team seeks a senior data engineer to lead end-to-end initiatives, including Azure Databricks development and PySpark migration for scalable data integration in digital engagement.
You will serve as the primary liaison for clients and cross-functional teams, driving automation with Python and SQL, ensuring HIPAA/OIG compliance, and guiding data sourcing and analytics for member insights.
Responsible to drive end-to-end data engineering initiatives, including Azure Databricks development, SQLto- PySpark migration, and scalable data integration for digital engagement. Act as a single point of contact for client interactions, team management, and cross-functional collaboration. Interact with the client to get requirements and cascade the same across developers. Spearhead automation solutions using python, SQL, Pyspark, Azure Databricks, Azure Data factory. Ensure quality control, Compliance (HIPPA/OIG), and performance evaluation across teams. Lead stakeholder alignment and strategic data sourcing to power member insights and digital adoption analytics. Position may work at various and unanticipated worksites throughout the United States. Telecommuting permitted.
Requires Bachelor’s degree inElectronics and Communications, Computer Science, or a technology related fieldPlus Ten (10) years of experiencein healthcare industry.
Must have three (3) years of experience in the following:
40 hours/week, 9:00am-5:00pm, Salary range:$167,000 to $175,000 per year.
EEO/Minorities/Females/Vets/Disabilities.