EverCommerce - Data Engineer II

EverCommerce is a leading service commerce platform focused on digitally transforming the service economy. They are seeking a Data Engineer II to design and scale their modern data platform, supporting analytics and AI-powered insights.

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

Requirements:

• 5+ years experience in a Data Engineering position
• Strong experience with Python and SQL
• Hands-on experience with Apache Airflow
• 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