EverCommerce - Senior Data Engineer

AboutEverCommerce

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 theEverCommerceecosystem.

Role Overview

We are looking for aSenior Data Engineerto design, build, and scale a modern data platform that supports analytics, real-time use cases, and AI-enabled products.

This is ahigh-impact, hands-on rolewhere 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 towardautomation and intelligent pipeline development,leveragingmodern tooling and AI where it creates real efficiency.

Responsibilities:

• Design, build, andoperatescalable batch and streaming data pipelines

• Lead architecture decisions forLakehouse-based data platforms

• Develop and orchestrate workflows usingApache Airflow

• Build transformations and analytics-ready datasets usingDBT

• Develop andmaintainreal-time pipelines using Kafka

• LeverageDatabricksfor large-scale data processing and advanced analytics

• Design andoptimizestorage usingApache Iceberg and Lakehouse architecture

• Ingest and manage data from diverse sources using tools likeFivetranmanaged data lake

• Build andmaintainasemantic layerfor trusted reporting and self-service analytics

• Implementdata quality frameworks, observability, and automated testing

• Optimizeperformance, scalability, and cost acrossAWS services(Athena, EC2, etc.)

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

• Mentor junior engineers and contribute toengineering best practices and standards

• Drive improvements indeveloper productivity and pipeline reliability

Skills and Qualifications needed for this role:

• 7+ years of experience in Data Engineering or related field

• StrongproficiencyinPython and SQL

• Deep experience withApache Airflowand workflow orchestration

• ExpertiseinDBTfor data transformation and modeling

• Strong hands-onexperience withDatabricks

• Strong experience buildingstreaming pipelines (Kafka or similar)

• Strong hands-onexperience with data ingestion tools such asFivetran

• Hands-on experience with buildingautomated QA,monitoringandobservabilityfor data lake / lake house

• Solid understanding ofLakehouse architecture and Apache Iceberg

• Experience implementingdata quality, testing, and observability frameworks

• Familiarity withAWSecosystem(Athena, EC2, S3, etc.)

• Strong foundationindata modeling and semantic layer design

• Proven ability todesign scalable systems and influence technical direction

Nice tohaves (Including AI Capabilities)

• Experience enablingAI/GenAI use caseson analytics platforms (e.g., Databricks Genie or similar)

• Exposure toAI-assisted development toolsfor:

• 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 orleveragingmetadata-driven or declarative pipelines

• Familiarity withself-service BI tools(e.g., ThoughtSpot)

• Knowledge ofdata governance, cataloging, and lineage systems

• Experience inSaaS or multi-product ecosystems

• Understanding ofprivacy, 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.