EverCommerce - Data Engineer II
EverCommerce
RemoteRemote$120,000 - $140,000 a year
Job Description
EverCommerce - Data Engineer II - Remote, US
About EverCommerce
EverCommerce is a leading service commerce platform that helps service-based businesses run, grow, and scale. From scheduling and payments to marketing and customer engagement, we power the operational backbone for thousands of businesses.
Data is core to how we build great products, make smarter decisions, and deliver value to our customers. Our Data Engineering team enables trusted analytics, real-time insights, and emerging AI-driven experiences across the EverCommerce ecosystem.
Role Overview
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.
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
Skills and Qualifications needed for this role
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 Have
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
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 $120,000 to $140,000 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!
About EverCommerce
EverCommerce is a leading service commerce platform that helps service-based businesses run, grow, and scale. From scheduling and payments to marketing and customer engagement, we power the operational backbone for thousands of businesses.
Data is core to how we build great products, make smarter decisions, and deliver value to our customers. Our Data Engineering team enables trusted analytics, real-time insights, and emerging AI-driven experiences across the EverCommerce ecosystem.
Role Overview
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.
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
Skills and Qualifications needed for this role
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 Have
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
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 $120,000 to $140,000 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!