EverCommerce - Data Engineer II at EverCommerce

Ideal for a Data Engineer with over 5 years of experience, skilled in building and scaling modern data platforms, particularly those involving Lakehouse archite

Work type: remote

Location: Remote- US | Remote (Canada)

Salary: $120,000 – $140,000/yr

Type: Full-time

Summary

Ideal for a Data Engineer with over 5 years of experience, skilled in building and scaling modern data platforms, particularly those involving Lakehouse architectures, streaming data, and AI/GenAI use cases. **What makes it worth a look...** EverCommerce is offering a fully remote position in the US or Canada with a salary of $120,000 to $140,000 per year. They focus on digitally transforming the service economy with tailored SaaS solutions and offer comprehensive health benefits, a 401k match, and employee stock purchase options. **You might be a good fit if you...** * Have strong Python and SQL skills, with hands-on experience in Apache Airflow. * Are proficient with Databricks, DBT for transformations, and Kafka for streaming pipelines. * Have experience with Fivetran for data ingestion and Apache Iceberg for Lakehouse architectures. * Are familiar with AWS services like Athena and EC2, and implementing data quality checks.

Job Description

EverCommerce - Data Engineer II - Remote, USAbout 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](https://careers.evercommerce.com/us/en) 

Role Overview

We are seeking a Data EngineerII 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.

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

• 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

• 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

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.  ​

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