Data Engineer (DBT Specialist)

September 14, 2026

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.

Requirements

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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