Data Engineer - Scalable ETL & BI for Healthcare (Remote)

Grady Health System; Georgia; Remote; USD 120,000 - 170,000; Full time

Benefits offered by this job

Life insurance

Paid time off

Tuition reimbursement

Job summary

Grady Health System is seeking a Data Engineer to design scalable data pipelines and deliver actionable insights for clinical and operational teams. You will integrate diverse data sources, build BI solutions, and ensure data quality across the enterprise.

The role emphasizes collaboration, problem-solving, and strong communication skills, with a focus on scalable, reliable data infrastructure for Grady's organization.

Qualifications

• 6+ years of experience in data engineering, integration, and optimization.
• Hands-on experience with big data platforms such as Snowflake.
• Proficiency in SQL and Python.
• Experience with cloud platforms (AWS, Azure, GCP) and modern data tools (Databricks, Snowflake).
• Familiarity with SQL, NoSQL, Oracle, Hadoop, and Teradata.
• Strong problem-solving and debugging skills with good communication.

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 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.

Skills

SQL

Python

Data modeling

Problem solving

Communication

Education

Bachelor's degree in Computer Science / Information Systems / Mathematics or related field

Tools

Snowflake

Databricks

Airflow

Jenkins

Job description

Grady Health System is seeking a Data Engineer to design scalable data pipelines and deliver actionable insights for clinical and operational teams. You will integrate diverse data sources, build BI solutions, and ensure data quality across the enterprise.

The role emphasizes collaboration, problem-solving, and strong communication skills, with a focus on scalable, reliable data infrastructure for Grady's organization.