
Lead Data Architect | Scalable Data Solutions | Healthcare Revenue Cycle Management
19 hours ago
We are seeking a seasoned Senior Data Engineer to join our technology team. The ideal candidate will have a strong background in data engineering, with experience in designing and implementing scalable data solutions.
- The successful candidate will lead the development of a self-service data platform for reporting and analytics, utilizing Databricks, SQL, Python, Spark, and Delta Lake on Azure.
- They will build robust data pipelines using ETL/ELT best practices and ensure high-quality data delivery.
- Collaboration with cross-functional teams is essential, as they will integrate data with tools like Tableau, Power BI, and APIs.
- Maintenance of CI/CD, testing, infrastructure-as-code, and monitoring tools is also required.
Requirements:
- A minimum of 8 years of data engineering experience, with at least 3 years in senior roles.
- Strong expertise in PySpark, Scala, SQL, Python, and Azure, with Databricks experience being a plus.
- Familiarity with Databricks integrations such as Delta Live Tables and Auto Loader is desired.
- Proficiency in Spark, Pandas, and NumPy is necessary.
Why This Role?
This position offers an exciting opportunity to make a significant impact on millions of patient visits and drive innovation in healthcare revenue cycle management using cutting-edge data technology.
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