DBT / SQL Developer – Data Engineering

Our client, a IT Services and Consulting company, is looking for a DBT / SQL Developer – Data Engineering for their Pleasanton, CA – Hybrid (50% onsite) location.
 
Responsibilities:

• We are seeking a Senior Data Engineer / DBT Developer with strong hands-on experience in DBT Core, SQL, Apache Airflow, and ETL/ELT development.
• The ideal candidate will be responsible for developing and maintaining scalable data pipelines, implementing data transformation models, orchestrating workflows using Airflow, and ensuring high-quality, reliable datasets for enterprise analytics.
• Develop and maintain DBT Core models for enterprise data transformation.
• Build and maintain SQL-based data transformations, queries, and data validation processes.
• Develop and manage Apache Airflow DAGs for data pipeline orchestration.
• Design, develop, and optimize ETL/ELT pipelines.
• Manage workflow dependencies, scheduling, monitoring, and troubleshooting within Airflow.
• Implement reusable and maintainable data transformation components using DBT.
• Apply DBT best practices including testing, documentation, version control, and model development.
• Perform data validation and troubleshoot data quality and pipeline issues.
• Work with data engineers and analysts to deliver reliable and trusted datasets.
• Optimize data pipelines and transformation processes for performance and maintainability.
• Support integration of data from multiple enterprise source systems.
• Ensure data pipeline implementations follow established engineering standards and documentation practices.

• Experience: 5+ Years
• 5+ years of Data Engineering / Data Development experience.
• Strong hands-on experience with DBT Core.
• Strong proficiency in SQL.
• Hands-on experience with Apache Airflow.
• Strong experience developing ETL/ELT data pipelines.
• Experience with data transformation, data modeling, and data warehousing.
• Experience troubleshooting data pipelines and workflow failures.
• Experience with DBT models, testing, documentation, and version control.
• Ability to work independently and collaborate effectively with technical teams.
• Experience with AWS / cloud data platforms.
• Experience working with enterprise-scale analytics/data environments.
• Experience with modern cloud data warehouses.
• Experience with Agile development methodologies.
• Any data engineering certifications are a plus but not required.

• Health Benefits
• Referral Program
• Excellent growth and advancement opportunities