Data Engineer II (ICP)
Summary
Designs, develops, and supports data integration and ETL processes for a healthcare data warehouse, writing code in Python/SQL and troubleshooting pipelines while mentoring junior engineers.
Primary City/State:
Virtual - ArizonaCategory:
IT Database AdministrationShift:
DayDepartment:
Information Technology

- Hybrid
- Must reside in Arizona
- 3-days in office: Scottsdale, Arizona
Great care starts with great people. (Like you.)
At HonorHealth, you’ll find something special. From humble beginnings in 1927 to one of Arizona’s largest nonprofit healthcare systems, our culture is built on warmth and neighborly kindness. Behind every smile is a highly skilled professional with deep expertise and an unwavering dedication to what matters most — caring for the health and well-being of people and communities across the greater Phoenix area.
Responsibilities:

- Code, test, and implement integration software to ETL solution. Develop efficient mappings for data extraction/transformation/loading (ETL) from different sources to a target data lake house/warehouse. Schedule and integrate application/software logs to monitoring application. Implement stored procedures and effectively query the Storage systems (Data Lakehouse/Data Warehouse, MySQL, Oracle, SQL Server) database.
- Debug and troubleshoot errors and provide required support to the production jobs.
- Produce in-depth documentation of all development, policies and procedures.
- Participate in development planning sessions, weekly team status meetings and create/update appropriate project management documentation as required.
- Available for occasional off-hours emergencies. support activities related to on call procedures.
- Maintain current knowledge in new and existing software to ensure productivity, capability, and return on investment.
- Performs other duties as assigned.
- Bachelors Computer Science or related field Required
- Masters Computer Science or related field Preferred
- 2 years, Data Lake House or Enterprise Data Required
- 2 years, Database development (Python, SQL, PL/SQL, Bash) Required
- 2 years, Experience Big Data (Data Bricks or Apache Spark or similar) Required
- 3 years, Data Engineering experience with any integration/ETL tool/Application. Required
- 1 year, Experience with cloud technologies such as Azure or AWS Preferred
- 2 years, Healthcare or related experience Preferred
We're all in for your career.