Sr. Business Systems Engineer

EverHealth Division – REMOTE

About EverCommerce

EverCommerce [Nasdaq: EVCM] is a leading service commerce platform, providing vertically tailored, integrated SaaS solutions that help more than 600,000 global service-based businesses accelerate growth, streamline operations, and increase retention. Our modern digital and mobile applications create predictable, informed, and convenient experiences between customers and their service professionals. Specializing in Home & Field Services, Health Services, and Fitness & Wellness industries, EverCommerce solutions include end-to-end business management software, embedded payment acceptance, marketing technology, and customer engagement applications.

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

About EverHealth

EverHealth consists of SaaS products including DrChrono, EMHware, Good Therapy, AllMeds, iSalus, CollaborateMD, Updox, Therapy Partner, and MDTech. EverHealth 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.

The Role

We are seeking a Sr. Business Systems Engineer to join the EverCommerce Business Operations team. This is a senior technical role focused on our data infrastructure, analytics platforms, and system integrations that power revenue operations across the full customer lifecycle.

You will own the technical architecture for our data and analytics ecosystem—building pipelines, maintaining integrations, and ensuring our BI and product analytics platforms have accurate, timely data. You will work alongside platform engineering teams who manage operational systems (Salesforce, HubSpot, Zuora), focusing your efforts on the data layer that connects and reports on those systems. As a senior member of the team, you will mentor engineers and collaborate with leadership to drive technical excellence.

Our Technology Ecosystem

You will architect and maintain our data infrastructure and analytics stack, including:

• Data Warehouse: Snowflake, Redshift
• Data Pipeline & Orchestration: Fivetran (ETL), Hightouch (reverse ETL), dbt (models), Apache Airflow (DAGs & scheduling)
• Analytics & Tracking: Segment (identity graph & tracking protocol), Heap, Fullstory
• BI & Reporting: Omni, Looker, ThoughtSpot, Power BI
• Customer Success Analytics: ChurnZero, Chameleon

You will integrate with (but not administer): Salesforce, HubSpot, Zuora, NetSuite, Limio, and our product platforms (DrChrono, Chameleon, etc.)

Responsibilities

• Data Architecture: Own the design and evolution of our data warehouse architecture, ETL/reverse ETL pipelines, and data models that serve analytics and operational use cases
• Pipeline Development: Build and maintain data pipelines using Fivetran, Hightouch, dbt, and Airflow; ensure data quality, freshness, and reliability across the ecosystem
• Integration Engineering: Design and implement integrations between operational systems and our data platform using APIs, webhooks, and ETL patterns
• Analytics Enablement: Partner with business stakeholders to ensure BI platforms (Omni, Looker, etc.) have the data structures and models needed for accurate reporting
• Platform Engineering: Build and maintain CI/CD pipelines, automated testing frameworks, and deployment automation for data infrastructure
• Technical Leadership: Lead design sessions with cross-functional teams, mentor junior engineers, and establish best practices for data engineering and testing
• Strategic Partnership: Engage with EverCommerce and subsidiary leadership on data strategy, presenting recommendations and progress through presentations and architecture diagrams
• Quality Assurance: Lead testing for major data releases, develop comprehensive test plans, and drive continuous improvement in data quality

Requirements

• 10+ years of experience in data engineering, business systems engineering, or related technical roles with progressive responsibility
• Strong software engineering foundation: Proficiency in Python and SQL required; experience with additional languages (TypeScript, Go, Ruby) a plus. Comfortable writing production-quality code
• Data engineering expertise: Deep