Revenue Cycle Data Integration Specialist

Title:

Revenue Cycle Data Integration Specialist

Job Type:

Regular

Company:

Roswell Park Comprehensive Cancer Center

Department:

Information Technology

Time Type:

Full time

Weekly Hours:

40

FTE:

1

Shift:

First Shift (United States of America)

Summary:

Roswell Park is seeking a Revenue Cycle Data Integration Specialist to support the data behind critical financial and operational decision-making across the organization. In this role, you will work with revenue cycle, finance, and IT teams to ensure data from billing, claims, coding, and vendor systems is accurate, reliable, and ready for reporting and analytics.
This is a great opportunity for someone who enjoys problem-solving, working with complex data, and improving processes that help teams operate more effectively.
The starting annual salary for this position is $91,298 and this can include a full comprehensive benefits package.

What You’ll Do:
Support the extraction, transformation, and loading of revenue cycle data into SQL-based enterprise data warehouse and Microsoft Fabric environments
Maintain and improve ETL workflows and data integrations from vendor systems
Validate and reconcile claims, billing, and financial data to ensure accuracy and consistency
Investigate and resolve data quality issues and anomalies
Support operational reporting and Power BI dashboards related to revenue cycle performance metrics
Collaborate with finance, revenue cycle, operational, and IT teams to support reporting and analytics needs
Document data structures, processes, and workflows to support ongoing operations

What You’ll Bring:
Experience working with healthcare revenue cycle data, including claims, billing, denials, or coding workflows
Strong SQL skills and experience working in enterprise data warehouse environments
Experience supporting ETL processes and data integration workflows
Familiarity with Microsoft Fabric, including pipelines, dataflows, warehouses, or lakehouses preferred
Exposure to Power BI and reporting support
Strong analytical, organizational, and problem-solving skills
Ability to manage multiple priorities and collaborate effectively across teams
Experience with Python- or PHP-based ETL processes is a plus

Why You’ll Love Working Here:
At Roswell Park, every role contributes to a larger mission: helping to eliminate cancer’s grip on humanity through research, innovation, and compassionate care. As America’s first cancer center, Roswell Park offers the opportunity to do meaningful work alongside talented and mission-driven colleagues.

Employees enjoy:
A collaborative and supportive team environment
Opportunities to work with innovative technologies and enterprise analytics tools
Competitive benefits and retirement offerings
A mission-focused culture where your work truly makes an impact
The chance to support world-class healthcare, research, and patient care every day

Qualifications:

Required Education and Experience

1. Master's degree in computer science, engineering, data science, management information systems or a related field; or
2. Bachelor’s degree in computer science, engineering, data science, management information systems or a related field and the equivalent of two (2) years of full-time software development experience; or
3. Associates degree in computer science, engineering, data science, management information systems or a related field and the equivalent of four (4) years of full-time software development experience; or
4. High School diploma or High School Equivalency diploma with a diploma or certificate in a computer science, or related field and the equivalent of six (6) years of full-time software development experience.  

NOTE: Degrees must be conferred by an accredited school, college, or university, or by an institution recognized by Roswell Park Comprehensive Cancer Center and/or Health Research Incorporated as adhering to acceptable educational standards.

The ideal candidate has experience supporting healthcare revenue cycle data analytics across the claims, billing, and denials lifecycle, with an emphasis on preparing reliable, analytics‑ready datasets. Familiarity with revenue cycle workflows, HFMA key performance indicators, payer denials and claim edits is preferred.  Strong proficiency with SQL-based enterprise data warehouses is essential. The candidate must be comfortable writing, optimizing, and maintaining moderately complex SQL queries to support data integration, validation, and downstream consumption. This includes working with large datasets, applying transformational business logic, reconciling data against source applications, and investigating data anomalies or data qual