Forward Deployed Engineer

EverCommerce

. Partner with RCM professional services, operations, product, and engineering stakeholders to understand decisions and supporting data .

Posted 11/9/2026full-timeUnited StatesMid-LevelSenior💰 $140,000 - $170,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in SQL and Python for building and maintaining data pipelines, along with strong capabilities in data visualization and reporting using modern BI tools. Proficient in integrating AI throughout the development lifecycle while ensuring compliance with HIPAA and other regulatory standards.

Highest-signal resume keywords

Expert SQLPython ProgrammingData Pipeline DevelopmentBI Tool ProficiencyAI Integration

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data EngineeringDimensional ModelingELT/Transformation ToolingDashboard DevelopmentData Quality ChecksData Lineage DocumentationOperational AnalyticsHealthcare ComplianceAI CodingAutomated Workflows

Soft Skills

Interpersonal SkillsCommunication SkillsProblem-Solving MindsetRelationship BuildingAdaptability

Tools & Technologies

AWSBI ToolsClaude CodeCursorCopilotData WarehousesLakehousesAI AgentsBedrockBedrock AgentCore

Industry Keywords

RCMClaims ProcessingEDI 837/835EligibilityDenial ManagementA/R WorkflowsHIPAASOC 2HITRUSTBPO

Tech Stack

Tools & technologies

AWSPythonSQL

About the role

Key responsibilities & impact

Partner with RCM professional services, operations, product, and engineering stakeholders to understand decisions and supporting data
Identify visibility gaps across RCM workflows and turn them into metrics and reporting requirements
Design, build, and maintain data pipelines and models integrating EverHealth products, clearinghouse data, payer responses, operational tools, and AI agents
Build dashboards, self-service BI, and custom reports for timely insight into performance and outcomes
Instrument AI agents and automations to compare resolution rates, accuracy, handle time, and business impact with human-driven work
Deliver quickly and iterate based on feedback, starting with the highest-value questions
Document data definitions, quality checks, and lineage
Help evaluate and shape warehouse, transformation, and BI tooling
Partner with forward deployed engineers building AI agents, providing data, metrics, and integrations
Use AI throughout the development lifecycle, including analysis, SQL, pipeline development, testing, and documentation
Keep PHI within the AWS environment with role-based access, audit logging, and de-identification in line with HIPAA, SOC 2, and HITRUST requirements
Report to the engineering leader for RCM, with dotted-line partnerships into RCM professional services and product teams

Requirements

What you’ll need

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/transformation tooling
Experience building dashboards and reports in modern BI tools that business stakeholders actually use to make decisions
Strong interpersonal skills: you build relationships with non-technical stakeholders, ask good questions, and translate 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 (e.g., Claude Code, Cursor, Copilot) across the development lifecycle in your own work
An outcome-focused mindset, caring as much about the decisions the data enables as the data itself
Strong written and verbal communication skills, including presenting findings clearly to business audiences
Must be eligible to work without sponsorship
Nice to have: Experience instrumenting or measuring AI agents, LLM applications, or automated workflows
Nice to have: Experience building AI agents or LLM-powered automation, including with AWS Bedrock or Bedrock AgentCore
Nice to have: Healthcare/RCM experience, such as claims, EDI 837/835, eligibility, denial and A/R workflows, and HIPAA
Nice to have: Experience with operational analytics for professional services, BPO, or contact center teams

Benefits

Comp & perks

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