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Data Engineer

1 month ago

Erlanger, Kentucky, United States Inova Health System Full time

Job Title: Data Engineer - Cloud Solutions

Job Description:

Data Engineer - Cloud Solutions

Job Summary:

We are seeking a highly skilled Data Engineer - Cloud Solutions to join our team at Inova Health System. The successful candidate will be responsible for designing, building, and maintaining data pipelines using Microsoft Azure, SQL, Azure Data Factory, Azure Synapse, Databricks, Python, and PySpark to meet business requirements for reporting, analysis, and data science.

The ideal candidate will have a strong background in data engineering, experience with cloud-based data systems, and a passion for delivering high-quality data solutions.

Responsibilities:

  • Design, build, and maintain data pipelines using Microsoft Azure, SQL, Azure Data Factory, Azure Synapse, Databricks, Python, and PySpark.
  • Teach, adhere to, and contribute to DataOps and MLOps standards and best practices to accelerate and continuously improve data system performance.
  • Design and integrate fault tolerance and enhancements into data pipelines to improve quality and performance.
  • Mentor more junior Data Engineers.

Requirements:

  • Bachelor's or Master's degree in computer science, software engineering, information technology or equivalent combination of data engineering professional experience and education.
  • 3+ years proven Data Engineering experience.
  • Demonstrated experience with Microsoft Azure, SQL, Azure Data Factory, Azure Synapse, Databricks, Python, PySpark, Power BI or other cloud-based data systems.
  • Demonstrated experience with Azure DevOps, GitHub, CI/CD.
  • Demonstrated experience with database storage systems such as cloud, relational, mainframe, data lake, and data warehouse.
  • Demonstrated experience building cloud ETL pipelines using code or ETL platforms utilizing database connections, APIs, or file-based.
  • Demonstrated experience with data warehousing concepts and agile methodology.
  • Demonstrated experience designing and coding data manipulations applying processing techniques to extract value from large, disconnected datasets.
  • Excited about this role but don't meet every requirement listed? We encourage you to apply anyway.

We are an equal opportunity employer and welcome applications from diverse candidates.