remote Principal Data Engineer

We are seeking a highly skilled Principal Data Engineer to join our Data & Analytics team. This individual will play a critical role in designing, building, and scaling modern data pipelines and architectures to support enterprise analytics, reporting, and data products.

The ideal candidate has deep expertise in ELT development, dimensional modeling, and modern cloud data platforms, with a strong focus on performance, scalability, and data quality. This is a highly technical, hands-on role with significant ownership across the data lifecycle-from ingestion through curated data marts.

Required:

• Bachelor’s degree in Computer Science, Engineering, or equivalent experience
• 5+ years of experience building ELT pipelines in a Data Warehouse environment
• Strong experience with dimensional data modeling (Kimball, Data Vault, Medallion)
• Hands-on expertise with: dbt, Airflow or Dagster
• Strong experience with:

o Snowflake or similar cloud data warehouses o Distributed data systems o Kubernetes environments

• Deep understanding of:

o Append-only data modeling & point-in-time data structures o Column-oriented / analytical SQL modeling

• Strong proficiency in:

o Python o SQL

• Experience implementing:

o Test-driven development (TDD) for data pipelines o Git-based workflows and CI/CD best practices

Preferred:

• Experience working within modern data mesh or data platform architecture
• Exposure to real-time or streaming pipelines
• Experience supporting large-scale analytics or BI environments

• Annual performance bonus
• Medical, dental, vision coverage
• 401k with 4% match
• Unlimited PTO
• Remote flexibility
• Competitive compensation packages