Snowflake & dbt Data Engineer

TechDigital Group; United States; Remote; USD 60,000 - 80,000; Full time

Job summary

A technology solutions company in the United States is seeking a Data Engineer to develop and maintain data models and scalable data pipelines using Snowflake and DBT. The ideal candidate has proven experience with data warehousing concepts, CI/CD pipelines, and excellent problem-solving skills. This role involves collaborating with cross-functional teams to ensure data quality and performance, providing a dynamic work environment focused on innovation.

Qualifications

• Proven experience with Snowflake, DBT, Airflow, and CI/CD pipelines.
• Strong knowledge of SQL and data warehousing concepts.
• Experience in designing and optimizing ETL/ELT processes.

Responsibilities

• Develop and maintain data models in dbt following modular & scalable design principles.
• Design, develop, and maintain scalable data pipelines using Snowflake and DBT.
• Build and optimize pipelines on Snowflake, ensuring performance, cost efficiency and scalability.

Skills

Snowflake

DBT

Airflow

SQL

ETL/ELT processes

Cloud platforms

Tools

AWS

Job description

Responsibilities

• Develop and maintain data models in dbt following modular & scalable design principles.
• Design, develop, and maintain scalable data pipelines using Snowflake and DBT
• Build and optimize pipelines on Snowflake, ensuring performance, cost efficiency and scalability.
• Collaborate with cross functional teams to understand data requirements.
• Implement data quality checks and testing in dbt.
• Implement and optimize Airflow workflows for automation and scheduling of data processes.
• Maintain documentation for data models, transformations and processes.
• Develop and maintain CI/CD pipelines for data pipeline deployment and version control
• Troubleshoot and resolve issues related to data pipelines

Qualifications

• Proven experience with Snowflake, DBT, Airflow, and CI/CD pipelines.
• Strong knowledge of SQL and data warehousing concepts.
• Experience in designing and optimizing ETL/ELT processes.
• Familiarity with cloud platforms (like AWS).
• Strong problem-solving skills and ability to work in a fast-paced environment.
• Excellent communication and collaboration skills.