Snowflake / dbt Engineer

Title: Snowflake / dbt Engineer

Location: Remote (USA)

Employment Type: Full-Time (FTE)

Job Summary

We are looking for an experienced Snowflake / dbt Engineer to design, develop, and maintain scalable data warehouse solutions. The ideal candidate will have strong hands-on experience with Snowflake, dbt, SQL, and modern cloud data platforms, with the ability to build reliable and efficient data transformation pipelines.

Key Responsibilities

• Design, develop, and maintain data models using Snowflake and dbt.

• Build and optimize complex SQL queries, stored procedures, and data transformations.

• Develop scalable ELT/ETL pipelines for integrating data from multiple sources.

• Implement dbt models, tests, macros, snapshots, and documentation.

• Optimize Snowflake performance, query execution, and warehouse costs.

• Work with data engineering and analytics teams to deliver high-quality data solutions.

• Implement data quality checks, governance, and best practices.

• Troubleshoot data pipeline issues and ensure data reliability.

• Participate in architecture discussions and contribute to data platform improvements.

Required Qualifications

• Strong hands-on experience with Snowflake Data Cloud.

• Proficiency in dbt (data build tool), including dbt Core or dbt Cloud.

• Advanced SQL skills and experience with complex data transformations.

• Experience building and managing ELT/ETL data pipelines.

• Understanding of data warehousing concepts and dimensional modeling.

• Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform.

• Familiarity with Git, CI/CD, and data development best practices.

• Strong analytical, problem-solving, and communication skills.

Preferred Qualifications

• Experience with Python or other scripting languages.

• Familiarity with Airflow, Fivetran, Matillion, or similar data integration tools.

• Experience with data governance, data quality, and metadata management.

• Experience working in Agile development environments.