Lead DBT Data Engineer

Lead DBT Data Engineer

Posted Today by 1755837515

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Negotiable
Outside
Remote
USA
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Automation BigQuery Business Intelligence Tools Cloud Computing Cloud Technology Continuous Integration and Continuous Delivery Data Engineering Data Governance Datamodel Data Modeling Data Quality Data Transformation Data Warehousing DevOps Microsoft Azure Query Performance Snowflake (Data Warehouse) SQL (Programming Language) Stakeholder Management Tableau (Business Intelligence Software) Version Control Workflows

Summary: The role of DBT Data Engineer involves designing, building, and optimizing data pipelines and transformation workflows, with a strong emphasis on utilizing DBT and modern cloud data platforms. The ideal candidate will collaborate with various stakeholders to create efficient data models and ensure data quality and integrity. This position is fully remote and offers a contract employment type. The role requires a minimum of 4 years of experience in data engineering or a similar field.

Key Responsibilities:

  • Design, develop, and maintain data transformation pipelines using DBT.
  • Collaborate with data analysts, BI developers, and business stakeholders to translate requirements into efficient data models.
  • Work with modern cloud-based data warehouses such as Snowflake, Redshift, or BigQuery.
  • Implement best practices in SQL development, data version control, testing, and documentation.
  • Optimize query performance and ensure data quality, consistency, and integrity.
  • Deploy and monitor DBT models in CI/CD pipelines.
  • Troubleshoot and resolve data issues in production environments.
  • Partner with cross-functional teams to build scalable, automated, and governed data workflows.

Key Skills:

  • 4+ years of experience as a Data Engineer or in a similar role.
  • Hands-on expertise with DBT (modeling, testing, documentation, macros, packages).
  • Strong proficiency in SQL and data modeling concepts (Star/Snowflake schemas, ELT/ETL).
  • Experience with at least one cloud data platform (Snowflake, Redshift, BigQuery, Azure Synapse).
  • Familiarity with data orchestration tools (Airflow, Dagster, Prefect, or similar).
  • Knowledge of CI/CD processes, Git-based workflows, and DevOps practices.
  • Strong problem-solving and communication skills.

Salary (Rate): undetermined

City: undetermined

Country: USA

Working Arrangements: remote

IR35 Status: outside IR35

Seniority Level: undetermined

Industry: IT

Detailed Description From Employer:

Job Title: DBT Data Engineer
Location: Remote USA/Canada
Employment Type: Contract / Full-time

About the Role:
We are seeking a skilled DBT Data Engineer to design, build, and optimize data pipelines and transformation workflows. The ideal candidate will have strong expertise in DBT (Data Build Tool), modern data warehousing, and cloud data platforms, with a focus on delivering scalable and reliable data solutions that empower analytics and business decision-making.

Key Responsibilities:

  • Design, develop, and maintain data transformation pipelines using DBT.

  • Collaborate with data analysts, BI developers, and business stakeholders to translate requirements into efficient data models.

  • Work with modern cloud-based data warehouses such as Snowflake, Redshift, or BigQuery.

  • Implement best practices in SQL development, data version control, testing, and documentation.

  • Optimize query performance and ensure data quality, consistency, and integrity.

  • Deploy and monitor DBT models in CI/CD pipelines.

  • Troubleshoot and resolve data issues in production environments.

  • Partner with cross-functional teams to build scalable, automated, and governed data workflows.

Required Skills & Qualifications:

  • 4+ years of experience as a Data Engineer or in a similar role.

  • Hands-on expertise with DBT (modeling, testing, documentation, macros, packages).

  • Strong proficiency in SQL and data modeling concepts (Star/Snowflake schemas, ELT/ETL).

  • Experience with at least one cloud data platform (Snowflake, Redshift, BigQuery, Azure Synapse).

  • Familiarity with data orchestration tools (Airflow, Dagster, Prefect, or similar).

  • Knowledge of CI/CD processes, Git-based workflows, and DevOps practices.

  • Strong problem-solving and communication skills.

Nice-to-Have Skills:

  • Experience with Python for data workflows and automation.

  • Exposure to data observability tools (Monte Carlo, Databand, etc.).

  • Familiarity with data governance and security best practices.

  • Background in analytics engineering or BI tools (Looker, Tableau, Power BI).

Why Join Us?

  • 100% Remote opportunity.

  • Collaborative and growth-oriented team culture.

  • Work with modern data stack technologies.

  • Competitive compensation and long-term career opportunities.

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