Senior Data Engineer

We are looking for a Senior Data Engineer to join our lean, high-impact data team that powers analytics for 15+ business functions across a home equity investment company. The ideal candidate will have significant hands-on experience with dbt, Snowflake, Apache Airflow, and Python, with a strong understanding of data modeling and AWS experience.

Requirements

• Develop, maintain, and optimize dbt models across 20+ data marts
• Build and maintain ETL/ELT pipelines using Airflow
• Manage Snowflake DDL deployments via schemachange
• Maintain and extend Terraform-managed RBAC grants
• Drive Snowflake cost optimization
• Support CI/CD pipelines for dbt Cloud, Astronomer deployments, and automated data quality testing
• Develop and maintain AWS Lambda functions supporting data integrations, APIs, and serverless data processing workflows
• Collaborate with analysts and data scientists to build and maintain data marts, feature engineering tables, and semantic layer metrics
• Contribute to the team's AI/ML initiatives

Benefits

• Generous health benefits
• Unlimited paid time off
• Flexible remote and onsite work
• Fully paid parental leave
• Equity
• Financial wellness
• Extra work/life benefits