Remote Senior Data Engineer Cerner & Revenue Cycle

Ensemble Health Partners; United States; Remote; USD 102,000 - 175,000; Full time

Job summary

Ensemble Health Partners is seeking a Senior Data Engineer with deep Cerner development and revenue cycle data experience to join a small, high-impact engineering team.

You will develop Cerner queries and scripts, extract data across clinical, HB, and PB/PV workflows, and collaborate to deliver scalable data solutions with real downstream impact.

Travel to client sites may be required; this remote role offers opportunities to apply advanced analytics, Python and Databricks in a healthcare setting.

Qualifications

• 4+ years of Cerner development experience.
• 6+ years of data engineering experience.
• Experience extracting data directly from Cerner, including vendor data.
• Healthcare revenue cycle knowledge; travel to client/site may be required.

Responsibilities

• Develop, write, and maintain Cerner queries and scripts to extract data.
• Primary contributor for Cerner development and data extraction.
• Work with revenue cycle data across Clinical, Hospital Billing (HB), and Physician/Professional Billing (PB/PV).
• Collaborate with a small team to deliver scalable data solutions with downstream impact.
• Translate business requirements into technical solutions.
• Ensure data accuracy, quality, and availability for stakeholders.

Skills

Cerner development

Data engineering

Cerner data models

Microsoft SQL

Downstream analytics

Data extraction

Education

Bachelor's Degree or Equivalent Experience

Tools

Databricks

Azure

Python

Job description

Ensemble Health Partners is seeking a Senior Data Engineer with deep Cerner development and revenue cycle data experience to join a small, high-impact engineering team.

You will develop Cerner queries and scripts, extract data across clinical, HB, and PB/PV workflows, and collaborate to deliver scalable data solutions with real downstream impact.

Travel to client sites may be required; this remote role offers opportunities to apply advanced analytics, Python and Databricks in a healthcare setting.