EverHealth - Forward Deployed Engineer (Remote, US)

EverCommerce; United States; Remote; USD 140,000 - 170,000; Full time

Benefits offered by this job

Health benefits

Wellness stipend

401(k) match up to 4%

Flexible time off

Employee stock purchase program

Job summary

EverCommerce is seeking a data/analytics engineer to simplify revenue cycle management analytics by building reliable data pipelines, models, dashboards, and reports. You will partner with billing operations, product, engineering, and data users to identify decision points, close visibility gaps, and measure both human and AI-assisted work.

The role blends hands-on data engineering with stakeholder discovery and rapid iteration, requiring collaboration across teams and the ability to translate

Qualifications

• Experience building dependable data pipelines and data models.
• Strong SQL and translating operational questions into metrics.
• Experience delivering dashboards or BI reports to varied stakeholders.
• Ability to collaborate directly with business teams and adapt to changing needs.

Responsibilities

• Define questions, metrics, and reporting to guide decisions with cross-functional teams.
• Measure metrics like AR aging, days in A/R, denial rates, and throughput.
• Build data pipelines incorporating product, clearinghouse, payer-response, and operational data.
• Deliver dashboards, self-service BI, and custom reports for timely insights.
• Instrument AI agents and automations to track resolution, accuracy, and handling time.

Skills

Data engineering

SQL

Dashboards/BI

Stakeholder collaboration

Job description

Role overview

Make revenue cycle management (RCM) operations easier to understand and improve by building reliable data pipelines, models, dashboards, and reports. You will partner with billing operations, product, engineering, and data users to identify the decisions they need to make, close visibility gaps, and measure both human and AI-assisted work. The role blends hands-on data engineering and analytics with direct stakeholder discovery and rapid iteration.

Responsibilities

• Work with operations, product, and engineering partners to define the questions, metrics, and reporting needed to guide decisions.
• Identify and define measures such as accounts receivable aging, days in A/R, clean-claim and rejection rates, denial trends, collection rates, workload, throughput, and team productivity.
• Build and maintain data pipelines and models combining product, clearinghouse, payer-response, operational, and agent data.
• Deliver dashboards, self-service BI, and custom reports that provide timely, trusted views of performance.
• Instrument AI agents and automations to track resolution, accuracy, handling time, and business impact against human-led work.
• Document metric definitions, lineage, and quality checks, iterate based on feedback, and help assess warehouse, transformation, and BI tools.

Requirements

• Experience in data engineering or analytics engineering, including building dependable pipelines and data models.
• Strong SQL and ability to turn operational questions into clear, consistent metrics.
• Experience delivering dashboards, BI, or reporting to stakeholders with different levels of technical knowledge.
• Ability to collaborate directly with business teams, deliver useful initial insights quickly, and adapt as needs evolve.
• Eligible to work in the United States without sponsorship.

Nice to have

• Experience measuring AI agents, large language model applications, or automated workflows, or building AI-powered automation.
• Familiarity with AWS Bedrock or Bedrock AgentCore.
• Healthcare or RCM knowledge, including claims, EDI 837/835, eligibility, denials, accounts receivable, and HIPAA.
• Operational analytics for professional services, business process outsourcing, or contact center teams.

Benefits and work setup

• Remote across the United States; Chicago-area employees meet in person one or two days per week. Some office travel may be required, with optional periodic visits to operations sites.
• Health and wellness benefits, an annual wellness stipend, professional development, a 401(k) match of up to 4% with immediate vesting, flexible time off, and an employee stock purchase program.
• Target base compensation: $140,000–$170,000 per year in most U.S. locations, with final offers varying by location and experience.