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