Role Description We are looking for a skilled DBT (Data Build Tool) Data Engineer to design, build, and optimize modern data transformation pipelines. The ideal candidate has strong SQL skills, hands-on experience with cloud data warehouses, and a solid understanding of data modeling and ELT best practices. You will work closely with analytics, data science, and business teams to deliver clean, reliable, and well-documented data models. Key Responsibilities - Data Modeling & DBT Development: - Develop and maintain DBT models (staging, intermediate, mart layers) following modular design and best practices. - Implement dbt tests, documentation, sources, macros, and packages. - Build reusable and scalable data transformation frameworks. - Data Pipeline Engineering: - Design and optimize ELT workflows using DBT integrated with orchestrators (Airflow, Dagster, Prefect, etc.). - Work with cloud data environments such as Snowflake, BigQuery, Redshift, Databricks. - Ensure high performance of SQL transformations and warehouse queries. - Data Quality & Governance: - Implement and maintain data quality tests within DBT (unique, not null, referential integrity). - Contribute to version control, CI/CD, documentation standards, and best practices. - Collaboration & Stakeholder Support: - Work with analysts and business teams to understand requirements and convert them into scalable data models. - Support data consumers with well-structured data and documentation (dbt docs). - Participate in code reviews and provide engineering guidance. Qualifications - 3+ years’ experience in Data Engineering / ELT development. - Strong SQL proficiency, with experience writing optimized queries. - Hands-on experience with DBT Core or DBT Cloud. - Experience with any cloud data warehouse: Snowflake, BigQuery, Redshift, Azure Synapse. - Familiarity with Git, CI/CD pipelines, and modern data stack principles. - Understanding of data modeling techniques (Kimball, Data Vault, Star/Snowflake). - Experience integrating DBT with orchestrators (Airflow, Dagster, Prefect, etc.). Company Description Datavail is a leading provider of data management, application development, analytics, and cloud services, with more than 1,000 professionals helping clients build and manage applications and data via a world-class tech-enabled delivery platform and software solutions across all leading technologies. - For more than 17 years, Datavail has worked with thousands of companies spanning different industries and sizes. - Datavail is an AWS Advanced Tier Consulting Partner, a Microsoft Solutions Partner for Data & AI and Digital & App Innovation (Azure), an Oracle Partner, and a MySQL Partner. - Datavail’s Data Management and Analytics practice is made up of experts who provide a variety of data services including initial consulting and development, designing and building complete data systems, as well as ongoing support and management of database, data warehouse, data lake, data integration, and virtualization and reporting environments. - Datavail’s team is comprised of not just excellent BI & analytics consultants, but great people as well. - Datavail’s data intelligence consultants are experienced, knowledgeable, and certified in the best in breed BI and analytics software applications and technologies. - Our proven methodology can help your project succeed, regardless of stage. - With the combination of a proven delivery model and top-notch experience ensures that Datavail will remain the Data Management experts on demand you desire. - Datavail’s flexible and client-focused services always add value to your organization.