
Senior Data Engineer for Scalable Data Solutions
2 days ago
Unlock the Power of Data Engineering in Healthcare Revenue Cycle Management
About the Role- We seek a seasoned data engineer to lead the development of a self-service data platform for reporting and analytics.
- The ideal candidate will design scalable data solutions using Databricks, SQL, Python, Spark, and Delta Lake on Azure.
- Key responsibilities include ensuring adherence to best practices for ETL/ELT and data quality.
- Collaboration with teams is essential to integrate data with tools like Tableau, Power BI, and APIs.
- Candidates must be skilled in CI/CD, testing, infrastructure-as-code, and monitoring tools.
- A minimum of 8 years of experience in data engineering, with at least 3 years in senior roles.
- Strong expertise in PySpark, Scala, SQL, Python, and Azure, with Databricks experience preferred.
- Familiarity with Databricks integrations like Delta Live Tables and Auto Loader is a plus.
- Proficiency in Spark, Pandas, and NumPy is also required.
- A passion for mentoring and building secure, scalable data solutions is essential.
Mission-driven professionals can make a meaningful impact on millions of patient visits by driving innovation in healthcare revenue cycle management with cutting-edge data technology.
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