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EverCommerce

EverHealth - Sr Software Engineer

Reposted 22 Days Ago
Remote
Hiring Remotely in US
150K-175K Annually
Senior level
Remote
Hiring Remotely in US
150K-175K Annually
Senior level
The Sr. Business Systems Engineer will design and implement data architecture, integrate systems, ensure data quality, and provide leadership in analytics and engineering practices.
The summary above was generated by AI
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 experience with modern data stack tools including dbt, Fivetran, Hightouch (or equivalents), and cloud data warehouses (Snowflake, Redshift)
  • Analytics platform experience: Experience with product analytics (Segment, Heap, Amplitude) and/or BI tools (Looker, Omni, ThoughtSpot, Power BI)
  • API & integration expertise: Strong understanding of REST APIs, OAuth, webhooks, and integration patterns. Experience designing and building enterprise integrations
  • DevOps practices: Experience with CI/CD pipelines, containerization, git workflows, and automated testing
  • Commercial operations domain knowledge: Understanding of lead-to-cash processes and how data flows across CRM, billing, and customer success systems
  • Leadership & communication: Proven ability to mentor engineers, lead technical projects, influence senior stakeholders, and translate complex technical concepts for business audiences
  • Agile experience: Well-versed in scrum/agile methodologies, including story development, backlog refinement, and cross-functional collaboration
Preferred Qualifications
  • Experience with Apache Airflow or similar orchestration tools
  • Familiarity with Salesforce data model and integration patterns (APEX, SFDX experience a plus)
  • Background in healthcare technology or multi-product SaaS environments
  • Experience with customer success platforms (ChurnZero, Gainsight)
  • Experience building data products that serve reverse ETL and audience management use cases
Location

Remote – US or Canada, with 3-5 weeks of travel annually. The EverCommerce team is distributed globally, with teams in the U.S., Canada, the U.K., Jordan, New Zealand, and Australia. This role can be based anywhere in the United States or Canada. 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.

Benefits & Perks
  • Flexibility to work where/how you want within your country of employment—in-office, remote, or hybrid
  • Robust health and wellness benefits, including an annual wellness stipend
  • Continued investment in your professional development through Udemy
  • 401k (US) or RRSP (Canada) with company match
  • Flexible and generous paid time off
  • Employee Stock Purchase Program
  • Student Loan Repayment Program (US)

Compensation:  

EverCommerce is committed to equal pay and transparency. The annual base salary range for this position is $150,000 - $175,000 USD Per Year. Please note that the salary range information provided is a general guideline and combines all of the distinct labor markets within the US. EverCommerce considers factors such as (but not limited to) scope and responsibilities of the position, candidate’s work experience, candidate’s work location, education/training, key skills, internal peer equity, external market data, as well as, market and business considerations when making compensation decisions.

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!

Top Skills

Apache Airflow
Dbt
Fivetran
Go
Heap
Hightouch
Looker
Omni
Power BI
Python
Redshift
Ruby
Segment
Snowflake
SQL
Thoughtspot
Typescript

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