Data Engineer - Hybrid
Data Engineer - Hybrid
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1 Vacancy
Job Description
Join Community
Community Health Network was created by our neighbors for our neighbors. Over 60 years later community is still the heart of our organization. It means providing our neighbors with the best care possible backed by stateoftheart technology. It means getting involved in the communities we serve through volunteer opportunities and benefits initiatives. It means ensuring our dedicated caregivers can learn and grow to stay at the top of their fields and to better serve our patients. And above all it means exceptional care simply delivered and we couldnt do it without you.
Make a Difference
We are looking for an experienced and talented Data Engineer to join our team! The Data Engineer will be responsible for building managing and optimizing data pipelines data models and automation within the Azure environment. You will be moving these data pipelines effectively into production using Azure Data Factory Azure Databricks Azure SQL Server and Azure DevOps for key data and analytics consumers like business/data analysts data scientists or any persona that needs curated data for data and analytics use cases across the Network. Additionally Data Engineers will be expected to collaborate with Data Scientists Data Analysts and other data consumers to work on the data or predictive models and algorithms developed by them to optimize them for data quality security and data governance and prepare them to be ready for operationalized use. The Data Engineer will also be focusing on ways to optimize tasks focused on data operations that will allow the network to optimize and automate routine tasks. The Data Engineer will be expected to use industrystandard practices and cloudbased tools such as Azure Data Factory Azure Databricks utilizing a Lakehouse and Medallion architecture and Azure SQL database to build and develop datafocused initiatives across the Network.
Exceptional Skills and Qualifications
Applicants for this position should be able to collaborate with others in a team setting have excellent communication skills and attention to detail.
- Bachelors degree preferred.
- In lieu of the above education requirements a combination of experience and education will be considered.
- Must obtain DP203 Data Engineer Certification or equivalent vendor certification within 18 months of hire.
- Two 2 years of experience in Databricks developing ETL/ELT and data transformations using Spark SQL and PySpark .
- Two 2 years of experience in Azure Data Factory developing data ingestion pipelines .
- Two 2 years of experience with Microsoft SQL Server developing SQL views and Stored Procedures .
- Three 3 years of IT professional experience .
- Previous experiences considered a plus Microsoft Fabric Generative AI Large Language Models Oracle SQL Epic certifications Power BI Scripting Languages API Integrations.
Employment Type
Full-Time
