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Ex is seeking a senior data engineer to lead end-to-end data engineering initiatives, including Azure Databricks development, PySpark migration, and scalable data integration for digital engagement.
You will act as a single point of contact for client interactions, manage teams, and collaborate cross-functionally to cascade requirements to developers. The role includes automation using Python, SQL, PySpark, and Azure services with strict quality control and HIPAA/OIG compliance.
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.