EverHealth - Forward Deployed Engineer (Remote, US)

EverCommerce

1d • $140,000 - $170,000 • Hybrid

About The Position

EverHealth, a business within EverCommerce, provides end-to-end software and services for healthcare providers. The Forward Deployed Data Engineer III will join EverHealth’s revenue cycle management (RCM) team and work directly with internal RCM professional services, operations, product, and engineering teams. The role makes RCM workflows and outcomes visible by building data pipelines, models, dashboards, and custom reports that help teams understand operations, products, and AI agents.

This is a forward deployed role: the engineer will work with billers, operations leaders, and product partners to identify their most important questions and deliver useful data solutions incrementally, from trusted metrics and dashboards to a durable data foundation. The engineer will also partner with forward deployed engineers building AI agents, ensuring agent performance and business impact can be measured. The warehouse and BI stack is still being established, so the role will help evaluate and shape the tooling.

The position is part of the EverHealth engineering organization and reports to the engineering leader for RCM, with dotted-line partnerships into RCM professional services and RCM product teams. The role may be based anywhere in the United States. Chicago-area candidates work hybrid, meeting in person 1–2 days per week; candidates elsewhere work remotely. The position may require travel to the Denver corporate headquarters or other North American offices, and may include optional periodic travel to RCM operations sites. Candidates must be eligible to work without sponsorship.

Requirements

• At least 5 years of professional experience as a data engineer, analytics engineer, or software engineer with a strong data focus.
• Expert SQL and solid Python skills, with experience building and maintaining production data pipelines.
• Hands-on experience with data warehouses or lakehouses, dimensional modeling, and ELT or transformation tooling.
• Experience building dashboards and reports in modern BI tools that business stakeholders use to make decisions.
• Strong interpersonal skills, including building relationships with non-technical stakeholders, asking effective questions, and translating business needs into metrics and reports.
• Ability to work with incomplete or messy data, make pragmatic tradeoffs, and deliver incremental value quickly.
• Daily, hands-on use of AI coding and agent tools, such as Claude Code, Cursor, or Copilot, across the development lifecycle.
• An outcome-focused mindset, with concern for the decisions the data enables as well as the data itself.
• Strong written and verbal communication skills, including the ability to present findings clearly to business audiences.
• Must be eligible to work without sponsorship.

Nice To Haves

• Experience instrumenting or measuring AI agents, LLM applications, or automated workflows.
• Experience building AI agents or LLM-powered automation, including with AWS Bedrock or Bedrock AgentCore.
• Healthcare or RCM experience, such as claims, EDI 837/835, eligibility, denial and A/R workflows, and HIPAA.
• Experience with operational analytics for professional services, BPO, or contact center teams.

Responsibilities

• Partner with RCM professional services, operations, product, and engineering stakeholders to understand the decisions they need to make and the data that supports them.
• Identify visibility gaps across RCM workflows and translate them into metrics and reporting requirements, including measures such as A/R aging, days in A/R, claim and denial rates, collections, worklist volume, backlog, throughput, and productivity.
• Design, build, and maintain data pipelines and models that combine data from EverHealth products, the clearinghouse, payer responses, operational tools, and AI agents.
• Build dashboards, self-service BI, and custom reports that provide accountable owners with timely, trustworthy insight into performance and outcomes.
• Instrument AI agents and automations so their resolution rates, accuracy, handle time, and business impact can be compared with human-driven work.
• Deliver quickly and iterate based on feedback, starting with high-value questions and evolving solutions as needs change.
• Document and maintain consistent data definitions, quality checks, and lineage.
• Help evaluate and shape warehouse, transformation, and BI tooling as the data stack takes form.
• Partner with forward deployed engineers building AI agents, providing the data, metrics, and integrations they need.
• Use AI throughout the development lifecycle, including for analysis, SQL, pipeline development, testing, and documentation.
• Keep PHI within the AWS environment and support role-based access, audit logging, and de-identification for broader reporting in accordance with HIPAA, SOC 2, and HITRUST requirements.

Benefits

• Hybrid or remote work, depending on location.
• Continued investment in professional development.
• Health and wellness benefits available from Day 1, including an annual wellness stipend.
• 401(k) with up to a 4% match and immediate vesting.
• Flexible and generous FTO time off.
• Employee Stock Purchase Program.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed