EverCommerce

SaaS

SeniorDataEngineer

$130–130k United States FULL TIME Remote Friendly
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Senior candidates.

The Brief

“Senior Data Engineer at EverCommerce. Skills: Data Pipelines, Data Platforms, Data Modeling, AWS. Design data pipelines. Build data pipelines”

What You'll Achieve.

Deliver trusted, high-quality data; Create predictable, informed, and convenient experiences

Industry & Context.

SaaS
Eligibility Requirements

Minimal to no travel, Travel up to 4 times per year, Eligible to work without sponsorship, May require travel to Denver, Colorado

What They're Looking For.

Must Have

7+ years of experience in Data Engineering, Python, SQL, Apache Airflow, DBT, Databricks, Kafka, Fivetran, AWS ecosystem, data modeling, semantic layer design, design scalable systems, influence technical direction

Nice to Have

Experience enabling AI/GenAI use cases, Exposure to AI-assisted development tools, Experience building or leveraging metadata-driven or declarative pipelines, ThoughtSpot, data governance, cataloging, lineage systems, SaaS, multi-product ecosystems, privacy, compliance, secure data access patterns

What You'll Do.

Design data pipelines

Operate data pipelines

Lead architecture decisions

Orchestrate workflows

Build transformations

Create analytics-ready datasets

Develop real-time pipelines

Maintain real-time pipelines

Maintain semantic layer

Implement data quality frameworks

Implement observability

Implement automated testing

Deliver actionable data solutions

Mentor junior engineers

Contribute to best practices

Contribute to standards

Improve developer productivity

Improve pipeline reliability

How You'll Work.

Team & Collaboration

Partner cross-functionally; Partner with BI teams; Partner with product teams; Partner with engineering teams

Full Job Description

**About EverCommerce** At EverCommerce [Nasdaq: EVCM], we are on a mission to digitally transform the service economy with tailored, end-to-end SaaS solutions that simplify and empower the lives of our 725,000+ customers. As a leading service commerce platform, our modern digital and mobile applications create predictable, informed, and convenient experiences between customers and their service professionals in the areas of Home & Field Services, Health Services, and Wellness industries. We are building an extraordinary company and looking for talented, energetic, and motivated people to join our team. You can learn more about our Company, Culture and Values here: Data is central to how we build products, drive decisions, and unlock innovation. Our data platform supports analytics, real-time insights, and emerging AI-driven capabilities across the EverCommerce ecosystem. **Role Overview** We are looking for a **Senior Data Engineer** to design, build, and scale a modern data platform that supports analytics, real-time use cases, and AI-enabled products. This is a **high-impact, hands-on role** where you will lead the development of robust, scalable data systems, mentor engineers, and partner cross-functionally to deliver trusted, high-quality data. You will also help evolve our platform toward **automation and intelligent pipeline development** , leveraging modern tooling and AI where it creates real efficiency. **Responsibilities:** * Design, build, and operate **scalable batch and streaming data pipelines** * Lead architecture decisions for **Lakehouse-based data platforms** * Develop and orchestrate workflows using **Apache Airflow** * Build transformations and analytics-ready datasets using **DBT** * Develop and maintain **real-time pipelines using Kafka** * Leverage **Databricks** for large-scale data processing and advanced analytics * Design and optimize storage using **Apache Iceberg and Lakehouse architecture** * Ingest and manage data from diverse sources

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