
Data Engineering Leadership Role
4 hours ago
We are seeking a highly skilled Senior Data Engineer to join our technology team. This individual will be responsible for leading the development of a self-service data platform for reporting and analytics, building scalable data solutions with Databricks, SQL, Python, Spark, and Delta Lake on Azure, and ensuring best practices for ETL/ELT and data quality.
The ideal candidate will have 8+ years of data engineering experience, 3+ years in senior roles, and strong skills in PySpark, Scala, SQL, Python, and Azure, with Databricks experience preferred.
- Lead development of a self-service data platform for reporting and analytics.
- Build scalable data solutions with Databricks, SQL, Python, Spark, and Delta Lake on Azure.
- Ensure best practices for ETL/ELT and data quality.
- Collaborate with teams to integrate data with tools like Tableau, Power BI, and APIs.
- Manage CI/CD, testing, infrastructure-as-code, and monitoring tools.
Benefits of the Role:
- A challenging opportunity to drive innovation in healthcare revenue cycle management with cutting-edge data technology.
- A collaborative environment that fosters growth and professional development.
- A competitive compensation package.
About the Position:
This is an exceptional opportunity for a motivated and experienced Senior Data Engineer to make a meaningful impact on millions of patient visits and contribute to the success of our organization.
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