Data engineer DBT

Role: DBT Developer(Data Vault automation and data modelling using Python)

Location: North Carolina

Duration: Contract

Rate: $67/hr on c2c with 4.8% of VMS.

We are seeking a skilled DBT Developer with expertise in Data Vault automation and data modeling using Python. The ideal candidate will design build and optimize scalable data pipelines and models to support enterprise-level analytics and reporting. This role requires strong technical proficiency in DBT Python and modern data warehousing concepts with a focus on automation and efficiency.

Key Responsibilities

• Develop and maintain DBT models for enterprise data warehouse solutions.
• Implement Data Vault 2.0 methodology for scalable and auditable data modeling.
• Automate data modeling workflows using Python scripts and reusable frameworks.
• Collaborate with data engineers analysts and business stakeholders to translate requirements into efficient data models.
• Optimize SQL queries and DBT transformations for performance and scalability.
• Ensure data quality lineage and governance across all pipelines.
• Troubleshoot and resolve issues in data pipelines and modeling processes.
• Document processes standards and best practices for DBT and Data Vault automation.

Required Skills & Qualifications

• Proven experience as a DBT Developer or Data Engineer.
• Strong knowledge of Data Vault 2.0 methodology and data modeling principles.
• Proficiency in Python for automation and scripting.
• Solid understanding of SQL and relational database concepts.
• Experience with modern cloud data platforms (Snowflake BigQuery Redshift or Azure Synapse).
• Familiarity with CI/CD pipelines and version control (Git).
• Strong problem-solving skills and ability to work independently in a fast-paced environment.

Preferred Qualifications

• Experience with data orchestration tools (Airflow Prefect Dagster).
• Knowledge of data governance frameworks and metadata management.
• Exposure to Agile methodologies and collaborative development practices.
• Prior experience in contract consulting roles within enterprise data environments