EverCommerce - Senior Data Engineer

About EverCommerce 

At EverCommerce , 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: https://careers.evercommerce.com/us/en 

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 using tools like Fivetran managed data lake 

Build and maintain a semantic layer for trusted reporting and self-service analytics 

Implement data quality frameworks, observability, and automated testing 

Optimize performance, scalability, and cost across AWS services (Athena, EC2, etc.) 

Partner with BI, product, and engineering teams to deliver actionable data solutions 

Mentor junior engineers and contribute to engineering best practices and standards 

Drive improvements in developer productivity and pipeline reliability 

Skills and Qualifications needed for this role:

7+ years of experience in Data Engineering or related field 

Strong proficiency in Python and SQL 

Deep experience with Apache Airflow and workflow orchestration 

Expertise in DBT for data transformation and modeling 

Strong hands-on experience with Databricks 

Strong experience building streaming pipelines (Kafka or similar)

Strong hands-on experience with data ingestion tools such as Fivetran 

Hands-on experience with building automated QA, monitoring and observability for data lake / lake house

Solid understanding of Lakehouse architecture and Apache Iceberg 

Experience implementing data quality, testing, and observability frameworks 

Familiarity with AWS ecosystem (Athena, EC2, S3, etc.) 

Strong foundation in data modeling and semantic layer design 

Proven ability to design scalable systems and influence technical direction 

  Nice to haves (Including AI Capabilities) 

Experience enabling AI/GenAI use cases on analytics platforms (e.g., Databricks Genie or similar) 

Exposure to AI-assisted development tools for: 

Automating data pipeline generation 

Accelerating ingestion-to-consumption workflows 

Automating QA from ingestion to consumption 

Automation DBT model generation 

Improving testing, documentation, and lineage tracking 

Experience building or leveraging metadata-driven or declarative pipelines 

Familiarity with self-service BI tools (e.g., ThoughtSpot) 

Knowledge of data governance, cataloging, and lineage systems 

Experience in SaaS or multi-product ecosystems 

Understanding of privacy, compliance, and secure data access patterns 

Where

This is a fully remote, US based position with minimal to no travel required. You may be asked to travel up to 4 times per year for quarterly planning. 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 or Canada – if you’re close to one of our offices, we can set you up in-office or you can work 100% 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.

Benefits and Perks
Flexibility to work where/how you want within your country of employment – in-office, remote, or hybrid

Continued investment in your professional development 

Day 1 access to a robust health and wellness benefits package, 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 $130,000 to $150,000 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!