Data Engineer-Remote

Grady Health System•Atlanta, GA

59d•Remote

About The Position

Grady Health System is one of the largest public academic healthcare systems in the U.S., serving metro Atlanta with a legacy of compassion, innovation, and excellence. We're seeking a Data Engineer to help us harness the power of data to improve patient outcomes, streamline operations, and support our mission of health equity. What You'll Do As a Data Engineer at Grady, you'll be a key player in building and optimizing our data infrastructure. You'll design scalable pipelines, integrate diverse data sources, and deliver actionable insights that empower clinical and operational teams across the enterprise.

Requirements

Bachelor's degree in Computer Science, Information Systems, Mathematics, or related field
6+ years of experience in data engineering, integration, and optimization
Hands-on experience with big data platforms (e.g., Snowflake)
Proficiency in SQL and Python
Experience with cloud platforms (AWS, Azure, GCP) and modern data tools (Databricks, Snowflake)
Familiarity with database technologies (SQL, NoSQL, Oracle, Hadoop, Teradata)
Strong problem-solving and debugging skills
Excellent communication and business acumen

Nice To Haves

Experience with data orchestrating and automation tools like Airflow or Jenkins following CI/CD pipelines
Certification in EPIC Caboodle or EPIC Clarity

Responsibilities

Design and develop scalable ETL pipelines to support enterprise data needs
Integrate data from clinical systems, APIs, warehouses, and external sources
Build and maintain BI solutions to monitor performance and drive strategic decisions
Ensure data integrity, consistency, and quality through validation and cleansing
Optimize workflows for performance and scalability
Collaborate across departments to support data-driven initiatives
Troubleshoot and resolve data/reporting issues with precision and urgency