Data Engineer

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

General Summary

The Healthcare Data Engineer is responsible for designing, building, and maintaining scalable data pipelines and analytics infrastructure for Urology Centers of Alabama, P.C. This role ensures the reliable integration of clinical, revenue cycle, and operational data from multiple systems to support reporting, analytics, compliance, and strategic decision-making across the organization. The Data Engineer partners closely with clinical, revenue cycle, finance, and IT teams to ensure data accuracy, availability, and security in a regulated healthcare environment.

Essential Functions

• Data Architecture & Engineering: Design, develop, 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.
• Healthcare Systems Integration: Extract, transform, and load (ETL) data from healthcare systems including EMR, revenue cycle, scheduling, and financial systems.
• Ensure accurate mapping of clinical and financial data elements such as CPT, ICD‑10, HCPCS, modifiers, charges, payments, and adjustments.
• Support interoperability standards such as HL7, FHIR, and flat‑file payer feeds where applicable.
• Data Quality, Governance & Compliance: Implement data validation, auditing, and reconciliation processes to ensure data integrity across systems.
• Partner with Revenue Cycle, Compliance, and Clinical teams to support auditing, reimbursement analysis, and regulatory reporting.
• Ensure data security, access controls, and HIPAA compliance across all data environments.
• Analytics & Reporting Enablement: Enable dashboards and reporting for key performance areas including revenue cycle performance, provider productivity, quality metrics, and operational efficiency.
• Support advanced analytics initiatives such as denial analysis, reimbursement variance tracking, capacity utilization, and physician performance reporting.
• Collaborate with analysts and business stakeholders to translate reporting needs into scalable data solutions.
• Collaboration & Continuous Improvement: Work closely with IT, EMR administrators, vendors, and business leaders to support system upgrades and new implementations.
• Document data models, pipelines, and data definitions to support transparency and sustainability.
• Identify opportunities to automate manual reporting and improve data accessibility across Urology Centers of Alabama, P.C.

Physical Demands

The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. While performing the duties of this job, the employee is occasionally required to stand; walk; sit, handle, or feel objects, tools, or controls; reach with hands and arms; stoop, kneel, crouch, or crawl; and talk or hear. The employee must occasionally lift and/or move more than 45 pounds.

Supervisory Requirements

This position will not supervise employees.

Qualifications

Minimum Qualifications

• Bachelor’s degree in Computer Science, Data Engineering, Information Systems, or related field (required).
• Healthcare analytics or informatics education preferred.
• 3–7 years of experience in data engineering or analytics engineering.
• Experience working with healthcare data, preferably in a physician practice or multi‑specialty environment.
• Hands‑on experience integrating EMR and revenue cycle data.

Preferred Qualifications

• Strong SQL skills and experience with relational databases (e.g., SQL Server, PostgreSQL, Oracle).
• Experience with ETL tools and data pipeline frameworks.
• Familiarity with cloud data platforms (Azure, AWS, or GCP preferred).
• Experience with healthcare data standards (CPT, ICD‑10, HL7, FHIR).
• Knowledge of BI tools (Power BI, Tableau, or similar).

Licensure, Certification, Registration Requirements

None.