Job Description

Job Title : Data Engineer (DBT Specialist)

Location : Remote

We are currently seeking candidates who meet the following qualifications.

Key Responsibilities

• Design and implement scalable data models and transformation pipelines using DBT (Data Build Tool).
• Build and maintain ELT workflows using tools like Airflow, Fivetran, or custom Python scripts.
• Work with data warehouses such as Snowflake, BigQuery, or Redshift to optimize storage and performance.
• Ensure data quality, governance, and consistency through testing, version control, and documentation in DBT.
• Collaborate with analysts and stakeholders to understand data needs and deliver efficient, reusable models.
• Monitor pipeline performance and troubleshoot issues across the data stack.
• Implement and maintain CI/CD practices for analytics engineering.
• Stay up-to-date with best practices in data modeling, pipeline architecture, and cloud data tools.

• Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or related field.
• Experience in data engineering or analytics engineering roles.
• Strong hands-on experience with DBT in production environments.
• Solid understanding of SQL and data warehousing principles.
• Experience with modern data stacks (e.g., Snowflake, BigQuery, Redshift).
• Experience with Python or another scripting language for ETL/ELT tasks.
• Experience with orchestration tools like Airflow, Prefect, or Dagster.
• Git proficiency for version control and collaboration.
• Strong communication and collaboration skills.
• Federal Experience is a plus.
• Required Security clearance.
  
  
  If you meet these qualifications, please submit your application via link provided in Linkedin.
  Kindly do not call the general line to submit your application.

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