Healthcare Data Engineer: Build Scalable Pipelines & Insights

Urology Centers of Alabama; Birmingham (AL); On-site; USD 90,000 - 120,000; Full time

Job summary

Urology Centers of Alabama, P.C. is seeking a Healthcare Data Engineer to design, build, and maintain scalable data pipelines and analytics infrastructure.

The role supports integration of clinical, revenue cycle, and operational data to enable reporting, analytics, and regulatory compliance across the organization. The ideal candidate will have a background in data engineering within healthcare settings, hands-on EMR data integration, and experience with ETL tools and cloud platforms.

Qualifications

• Bachelor’s degree in CS, Data Eng, IS, or related field.
• 3–7 years of data engineering or analytics engineering experience.
• Experience with healthcare data in physician practice or multi-specialty environment.
• Hands-on experience integrating EMR and revenue cycle data.

Responsibilities

• Design, build, and maintain data pipelines that integrate data from EMRs, practice management systems, billing platforms, payer files, and ancillary systems.
• Build and manage data warehouses, data marts, and structured datasets to support clinical, financial, and operational reporting.
• Optimize data performance, reliability, and scalability across analytics platforms.
• Implement data validation, auditing, and reconciliation processes to ensure data integrity across systems.
• Ensure data security, access controls, and HIPAA compliance across all data environments.

Skills

SQL

BI tools

Education

Bachelor’s degree in Computer Science or related field

Tools

ETL tools

Data pipeline frameworks

Azure

AWS

GCP

Job description

Urology Centers of Alabama, P.C. is seeking a Healthcare Data Engineer to design, build, and maintain scalable data pipelines and analytics infrastructure.

The role supports integration of clinical, revenue cycle, and operational data to enable reporting, analytics, and regulatory compliance across the organization. The ideal candidate will have a background in data engineering within healthcare settings, hands-on EMR data integration, and experience with ETL tools and cloud platforms.