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About the Role
The Central Health System's Data Engineer designs, develops, and maintains scalable data systems for enterprise reporting, analytics, data science, AI, and operational workflows. This role focuses on cloud-native data engineering within a Snowflake and Azure environment, ensuring data integrity and building reliable data infrastructure.
Responsibilities
- Design, develop, test, and maintain scalable ELT/ETL pipelines using Azure Data Factory, dbt, Python, and Snowflake.
- Build and optimize data models (star/snowflake schemas, dimensional models) within Snowflake.
- Develop, test, and maintain Snowflake objects.
- Write advanced T-SQL and Python scripts for data transformation, automation, and data quality enforcement.
- Automate data extraction, transformation, and loading processes.
- Investigate and troubleshoot coding errors and data flow failures.
- Participate in the assessment and migration of SQL Server objects to Snowflake and Azure-native equivalents.
- Validate migrated data for completeness, accuracy, and consistency.
- Document migration decisions, data lineage, and transformation logic.
- Ensure data accuracy, completeness, and consistency across pipelines and data products.
- Analyze data quality issues and develop solutions.
- Coordinate with the Data Integration team on data transport, interface issues, and cross-system data flows.
- Adhere to data governance standards and contribute to data cataloging and documentation.
- Coordinate with QA Specialists to develop and execute test plans.
- Collaborate with Data Architects, database administrators, and other members of the Joint Technology team.
- Partner with Data Engineering & Integration Services teammates and cross-functional stakeholders on project delivery.
- Serve as a subject matter expert (SME) during project planning.
- Answer provider, partner, and vendor questions; assist in troubleshooting and resolving data-related problems.
- Create and maintain schema documentation, data dictionaries, and other technical artifacts.
- Adhere to coding standards and participate in peer code reviews.
- Perform vendor management and oversight as needed.
- Ability to work outside of standard business hours when required.
Requirements
- 1 year of experience in Healthcare IT
- 2 years of experience in data engineering, database development, or a related role
- 2 years of experience writing advanced T-SQL and/or Python for data processing, automation, or pipeline development
- 2 years of experience with cloud data platforms (Snowflake, Azure SQL, Azure Data Factory, or equivalent)
- 1 year of experience with data pipeline or ETL/ELT development and orchestration
- Familiarity with data integration concepts and interoperability standards in a healthcare or enterprise environment
Skills
- Azure Data Factory
- dbt
- Python
- Snowflake
- T-SQL
- Data Modeling
- ELT/ETL
- Data Quality
- Data Governance
- Data Cataloging
- OvalEdge
- SQL Server
- Azure SQL
- Boomi
- EPIC
Location
- Central Health System
Work Type
- Full-time
Experience Level
- 1-2 years experience
Education Level
- Bachelor's Degree in computer science or related field
- Associate's Degree in computer science or related field with one (1) year of additional experience
- High School Diploma or equivalent or GED with Two (2) years of additional experience
About the Company
- Central Health System