Forward Deployed Data Engineer 3

EverCommerce (Nasdaq: EVCM) is a leading service commerce platform, providing vertically-tailored, integrated SaaS solutions that help more than 745,000 global service-based businesses accelerate growth, streamline operations, and increase retention. Its modern digital and mobile applications create predictable, informed, and convenient experiences between customers and their service professionals. With its EverPro, EverHealth, and EverWell brands specializing in Home, Health, and Wellness service industries, EverCommerce provides end-to-end business management software, embedded payment acceptance, marketing technology, and customer experience applications. Learn more at EverCommerce.com.

We are building an extraordinary company and looking for talented and motivated people to join our team. You can learn more about our Company, Culture and Values here: https://www.evercommerce.com/about-us/careers/

EverHealth, a business within EverCommerce, provides modern end-to-end solutions for healthcare providers. Our open, connected ecosystem of solutions and services helps providers engage patients, increase revenue, improve business efficiency, and remain market competitive. We serve 72,000+ healthcare practices and counting. EverHealth consists of SaaS products including DrChrono, iSalus, CollaborateMD, Updox, eProviderSolutions, AlertMD, and MD Coder. With two EHRs and platform-level solutions such as communication platforms and a clearinghouse, EverHealth delivers a turn-key, end-to-end solution for the software needs of a modern healthcare practice.

We are looking for a Forward Deployed Data Engineer III, a data engineer or analytics engineer who wants to work directly with the business, to join EverHealth’s revenue cycle management (RCM) team. RCM is at the heart of how our customers get paid, and we are building a new generation of RCM tools that pair modern workflow software with AI agents to help billing teams work smarter, resolve issues faster, and collect more of what they’ve earned. This work is part of our broader focus on finding where automation, AI, and new experiences can make the biggest impact across the EverHealth portfolio.

As a Forward Deployed Data Engineer III, your customers are our internal RCM professional services team and the product and engineering teams that serve them. Your job is to make sure the people accountable for results have the data and insights they need. Today, many RCM workflows and outcomes are hard to see. You will close those visibility gaps by building the pipelines, models, dashboards, and custom reports that show what is happening across our operations, our products, and the AI agents working alongside our teams.

This is a forward deployed role. You will spend time with billers, operations leaders, and product partners to understand the questions they need answered, then deliver quickly: a first trusted metric within weeks, working dashboards soon after, and a durable data foundation over time. You will partner with the forward deployed engineers building AI agents so that every agent is measurable from day one and its impact is visible to the people who depend on it. This role is part of the EverHealth engineering organization, reporting to the engineering leader for RCM, with dotted-line partnerships into RCM professional services and the RCM product teams.

Our warehouse and BI stack for this work is still taking shape, so you will help evaluate and choose it. As the program grows, you will help shape how EverHealth uses data to learn, adjust, and move faster.

How this role fits: Our software engineers build the RCM worklist and the shared automation foundation that agents run on. Our forward deployed engineers work with RCM operations to build and tune use-case agents on top of it. As our data-focused forward deployed engineer, you make the work and its outcomes measurable.

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 turn them into clear metrics and reporting requirements, such as A/R aging and days in A/R, clean-claim and rejection rates, denial rates by payer and reason code, net collection rate, cost-to-collect, worklist volume, backlog and throughput, and productivity per FTE or BPO team

·       Design, build, and maintain data pipelines and models that bring together data from EverHealth products, our clearinghouse (including 835/ERA remittances and 277CA acknowledgements), payer responses, operational tools, and AI agents

·       Build dashboards, self-service BI, and custom reports that give accountable owners 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 the highest-value questions and evolving solutions as needs change

·       Keep data definitions, quality checks, and lineage documented and consistent so stakeholders trust the numbers

·       Help evaluate and shape our warehouse, transformation, and BI tooling as the stack takes form

·       Partner with the 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 our AWS environment, with role-based access, audit logging, and de-identification for broader reporting, in line with HIPAA, SOC 2, and HITRUST requirements

Technology Environment:

·       Cloud Infrastructure: AWS

·       Languages: SQL and Python

·       Data Platforms: relational databases such as Postgres, MySQL, and MSSQL, plus cloud data warehouses and lakehouses such as Databricks, Redshift, or Snowflake (our stack is still being decided)

·       Data Tooling: ELT/ETL and transformation tools such as dbt, and orchestration tools such as Airflow or Dagster

·       BI & Reporting: modern BI tools such as Power BI, Tableau, or Amazon QuickSight

·       AI: LLM and agent-based capabilities integrated into business workflows

·       Security & Compliance: HIPAA, SOC 2, and HITRUST, with PHI kept within our AWS environment

Skills and Experience needed for success in this role:

·       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

Nice to Have:

·       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/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

Where: The EverCommerce team is distributed globally, with teams in the U.S., Canada, the U.K., Jordan, New Zealand, and Australia. With a widely distributed team, we are used to working remotely across different time zones. This role can be based anywhere in the United States. Candidates based in the Chicago area will work hybrid, meeting with the team in person 1–2 days per week. Candidates elsewhere in the U.S. will work remotely. Please note that you must be eligible to work without sponsorship to qualify for this position, and this role may require travel to our Corporate Headquarters in Denver, Colorado, or to other office locations around North America. This role may also include periodic, optional travel to our RCM operations sites.

Benefits and 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

Compensation: The target base compensation for this position is $140,000 to $170,000 USD per year in most US locations. Final offer amounts are determined by multiple factors including location, local market variances, and candidate experience and expertise, and may vary from the amounts listed above.

EverCommerce is an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender identity, sexual orientation, age, marital status, veteran status, or disability status. We look forward to reviewing your credentials and getting to know more about your experience!

EverCommerce uses approved artificial intelligence (“AI”) tools to support its business operations. Employees are encouraged to use authorized AI tools, when appropriate for their roles, to improve efficiency, quality, and innovation. All AI use must comply with company policies, including requirements concerning confidentiality, data security, intellectual property, accuracy, and human review. Employees remain responsible for reviewing and validating AI-assisted work.