EverCommerce - Data Engineer II

EverCommerce

2d•$120,000 - $140,000•Remote

About The Position

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 We are seeking a Data Engineer II to help design and scale our modern data platform, supporting analytics, self-service BI, real-time use cases, and AI-powered insights. You’ll work closely with analytics engineers, product teams, and business stakeholders to deliver reliable, high-quality data that drives measurable business outcomes. This role is hands-on and impact-focused, ideal for someone who enjoys building Lakehouse-based platforms, enabling streaming data, and supporting AI and GenAI use cases in production.

Requirements

5+ years experience in a Data Engineering position
Strong experience with Python and SQL
Hands-on experience with Apache Airflow5
Experience working with Databricks
Expertise using DBT for transformations and analytics modeling
Experience building streaming data pipelines with Kafka
Experience with data ingestion tools such as Fivetran
Working knowledge of Apache Iceberg and modern Lakehouse architectures
Experience implementing data quality checks, testing frameworks, and pipeline observability
Familiarity with AWS services including Athena, EC2, and cloud-based data platforms
Strong understanding of data modeling, analytics, and semantic layer design

Nice To Haves

Experience enabling AI or GenAI use cases on top of analytics platforms (e.g., Databricks Genie)
Experience delivering self-service BI solutions (e.g., ThoughtSpot)
Knowledge of data governance, metadata management, and data catalogs
Experience supporting SaaS or multi-product platforms
Familiarity with privacy, compliance, and secure data access patterns

Responsibilities

Design, build, and operate scalable batch and streaming data pipelines
Develop and orchestrate workflows using Apache Airflow
Implement transformations and analytics-ready datasets using DBT
Build and maintain real-time pipelines using Kafka
Leverage Databricks for data processing, analytics, and AI enablement
Support AI and GenAI use cases, including enabling high-quality data access for tools like Databricks Genie
Design and optimize data storage using Apache Iceberg and Lakehouse architecture
Ingest and manage data from diverse internal and external sources using Fivetran
Handle a wide variety of data structures (structured, semi-structured, and event-based data)
Build and maintain a semantic layer that enables trusted reporting and self-service analytics
Implement data quality frameworks, monitoring, and unit test automation to ensure reliability at scale
Partner with BI, product, and engineering teams to deliver data that is intuitive, trusted, and actionable
Optimize performance, scalability, and cost across AWS services such as Athena, EC2, and related tooling
Contribute to data platform standards, documentation, and best practices

Benefits

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.

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