EverHealth - Sr Business Systems Engineer

Evercommerce•Denver, CO

6d•$150,000 - $175,000•Remote

About The Position

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. 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.)

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

Nice To Haves

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

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

Benefits

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)

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