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Dbt Sql Jobs in Decatur, GA (NOW HIRING)

GCP Data Engineer

Atlanta, GA · On-site

$110.10K - $132.20K/yr

... in DBT (Data Build Tool) for data transformation and modeling. This role requires strong SQL skills , a solid understanding of data warehousing concepts , and light proficiency in Python for ...

Expert SQL , cloud (AWS/Azure/Google Cloud Platform), Python/DBT * SnowPro Architect certification preferred * Proven ability to deliver independently and own technical decisions Stephen Lead Talent ...

Experience with Snowflake / SQL Server / Synapse * ETL/ELT experience with SSIS, Informatica, dbt, DataStage * Executive dashboard / KPI reporting experience * Strong onsite business-facing ...

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Dbt Sql information

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How much do dbt sql jobs pay per hour?

As of May 31, 2026, the average hourly pay for dbt sql in Decatur, GA is $51.35, according to ZipRecruiter salary data. Most workers in this role earn between $42.50 and $58.22 per hour, depending on experience, location, and employer.

What is a Dbt SQL job?

A Dbt SQL job typically involves using dbt (data build tool) to transform and model data within a data warehouse. Professionals in this role write modular SQL queries, create reusable models, and develop data pipelines to improve analytics workflows. They also manage data documentation, version control, and testing to maintain data quality. This role is common in analytics engineering and helps organizations ensure reliable, well-structured data for reporting and decision-making.

What are the key skills and qualifications needed to thrive in the Dbt Sql position, and why are they important?

To thrive as a DBT SQL professional, you need strong proficiency in SQL, data modeling, and experience with analytics engineering, often supported by a background in computer science or data-related fields. Familiarity with dbt (data build tool), cloud data warehouses like Snowflake or BigQuery, and version control systems such as Git is highly valued, along with dbt certification as a plus. Exceptional problem-solving, attention to detail, and effective collaboration skills set candidates apart in this role. These capabilities are crucial for building robust, scalable data pipelines and ensuring accurate, actionable analytics within dynamic team environments.

What does a typical workday look like for a DBT SQL professional?

A typical workday for a DBT SQL professional involves developing, testing, and maintaining data transformation workflows using dbt and SQL within cloud data platforms. Responsibilities often include collaborating with data analysts, engineers, and business stakeholders to understand data requirements, troubleshooting data quality issues, and continuously optimizing data models for performance and reliability. You may also participate in code reviews, monitor pipeline runs, and document your work to ensure team-wide clarity and alignment. This role often includes a mix of independent technical work and cross-functional teamwork, making each day varied and intellectually engaging.
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Senior Data Engineer ( GCP/DBT/SQL)

Purple Drive Technologies

Atlanta, GA • On-site

$101.90K - $138.50K/yr

Full-time

Posted 16 days ago


Job description

Overview:
Role: Senior Data Engineer ( GCP/DBT/SQL)
Location: Hybrid - Atlanta / Dallas / Houston / Chicago / NY-NJ
Key Responsibilities:
• Design, build, and maintain scalable data pipelines on GCP, primarily using BigQuery.
• Develop and manage DBT models to transform raw data into clean, tested, and documented datasets.
• Write complex and optimized SQL queries for data extraction, transformation, and analysis.
• Implement and maintain data warehousing solutions, ensuring performance, scalability, and reliability.
• Collaborate with data analysts, data scientists, and business stakeholders to understand data requirements and deliver high-quality solutions.
• Monitor and troubleshoot data pipeline performance and data quality issues.
• Automate data workflows and tasks using Python scripts where necessary.
• Ensure data governance, security, and compliance standards are met.
Required Qualifications:
• Bachelor's degree in Computer Science, Information Systems, or a related field.
• 4-5 years of experience in data engineering or a similar role.
• Strong expertise in SQL with the ability to write efficient, complex queries.
• Proficiency in DBT for data modeling and transformation
• Hands-on experience with BigQuery and other GCP data services.
• Solid understanding of data warehousing principles and best practices.
• Basic to intermediate skills in Python for scripting and automation.
• Familiarity with version control systems like Git.
• Excellent problem-solving and communication skills.