Data Engineer

Role Overview

Join EverCommerce as a Data Engineer II to design and scale a modern data platform that powers analytics, self-service BI, streaming/real-time use cases, and AI-powered insights.

Key Missions / Responsibilities

• Design, build, and operate scalable batch and streaming data pipelines.
• Implement transformations and analytics-ready datasets using dbt.
• Collaborate with analytics engineers, product teams, and business stakeholders to deliver reliable, high-quality data.
• Enable AI and GenAI use cases by providing high-quality data access for tools such as Databricks Genie.
• Contribute to data platform standards, documentation, and best practices.
• Support data quality checks, testing frameworks, and pipeline observability.

Requirements

• 5+ years of experience in a Data Engineering role.
• Hands-on experience with Apache Airflow.
• Experience with data ingestion tools such as Fivetran.
• Strong Python and SQL skills.
• Familiarity with AWS services including Athena and EC2.
• Working knowledge of Apache Iceberg and modern Lakehouse architectures.
• Experience with Databricks.
• Expertise with dbt for transformations and analytics modeling.
• Strong understanding of data modeling, analytics, and semantic layer design.
• Experience building streaming pipelines with Kafka.
• Experience enabling AI/GenAI 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.

Nice-to-haves

• Deep knowledge of AI-ready data enablement patterns and productionizing GenAI data access.
• Proven observability/testing maturity for data pipelines.