$130K – $150KSeniorFull Time
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: 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!