Evercommerce - Data Engineer Ii

EverCommerce

United States
$120,000 - $140,000 usd py
Fully remote
Scalable batch and streaming data pipelines
Apache airflow for workflow orchestration
Dbt for transformations
EverCommerce is seeking a Data Engineer II to design and scale their data platform, focusing on analytics, self-service BI, and AI-powered insights. The ideal candidate will have over 5 years of experience in data engineering, with specific skills in Python, SQL, and various data pipeline technologies. The position offers flexibility in work location and a comprehensive benefits package

Job Summary

  • Design, build, and operate scalable batch and streaming data pipelines to support analytics, self-service BI, real-time use cases, and AI-powered insights.
  • Leverage modern tools like Databricks, DBT, Kafka, and Apache Iceberg to build and maintain a robust Lakehouse-based data platform.
  • This fully remote, US-based position offers a competitive salary range, comprehensive benefits, and opportunities for professional development.

Matching Summary

Match Score: 85

EverCommerce is seeking a Data Engineer II to design and scale their data platform, focusing on analytics, self-service BI, and AI-powered insights. The ideal candidate will have over 5 years of experience in data engineering, with specific skills in Python, SQL, and various data pipeline technologies. The position offers flexibility in work location and a comprehensive benefits package.

Salary

$120,000 - $140,000 USD per year

Skills & Requirements

Must-have

  • Scalable batch and streaming data pipelines
  • Apache Airflow for workflow orchestration
  • DBT for transformations
  • Kafka for real-time pipelines
  • Databricks for data processing
  • Apache Iceberg and Lakehouse architecture
  • Fivetran for data ingestion
  • Python and SQL expertise

Nice-to-have

  • Enabling AI/GenAI use cases
  • Self-service BI solutions
  • Data governance and cataloging
  • SaaS or multi-product platforms

Key Requirements

  • 5+ years experience in Data Engineering
  • Experience with data quality frameworks
  • Familiarity with AWS services (Athena, EC2)

Work Rights

Not specified

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