Data Engineer

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

1. Data Architecture & Engineering
2. Design, develop, and maintain data pipelines that integrate data from EMRs, practice management systems, billing platforms, payer files, and ancillary systems
3. Build and manage data warehouses, data marts, and structured datasets to support clinical, financial, and operational reporting
4. Optimize data performance, reliability, and scalability across analytics platforms
5. Healthcare Systems Integration
6. Extract, transform, and load (ETL) data from healthcare systems including EMR, revenue cycle, scheduling, and financial systems
7. Ensure accurate mapping of clinical and financial data elements such as CPT, ICD-10, HCPCS, modifiers, charges, payments, and adjustments
8. Support interoperability standards such as HL7, FHIR, and flat-file payer feeds where applicable
9. Data Quality, Governance & Compliance
10. Implement data validation, auditing, and reconciliation processes to ensure data integrity across systems
11. Partner with Revenue Cycle, Compliance, and Clinical teams to support auditing, reimbursement analysis, and regulatory reporting
12. Ensure data security, access controls, and HIPAA compliance across all data environments
13. Analytics & Reporting Enablement
14. Enable dashboards and reporting for key performance areas including revenue cycle performance, provider productivity, quality metrics, and operational efficiency
15. Support advanced analytics initiatives such as denial analysis, reimbursement variance tracking, capacity utilization, and physician performance reporting
16. Collaborate with analysts and business stakeholders to translate reporting needs into scalable data solutions
17. Collaboration & Continuous Improvement
18. Work closely with IT, EMR administrators, vendors, and business leaders to support system upgrades and new implementations
19. Document data models, pipelines, and data definitions to support transparency and sustainability
20. 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.

Minimum Qualifications

1. Bachelor's degree in Computer Science, Data Engineering, Information Systems, or related field (required)

1. Healthcare analytics or informatics education preferred

1. 3-7 years of experience in data engineering or analytics engineering
2. Experience working with healthcare data, preferably in a physician practice or multi-specialty environment
3. Hands-on experience integrating EMR and revenue cycle data

Preferred Qualifications

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

Licensure, Certification, Registration Requirements

None.