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Freelance Analytics Engineer Dbt Jobs (NOW HIRING)

Snowflake Data Engineer - DBT

Johnston, RI · On-site

$115K - $138K/yr

Sr. Snowflake Data Engineer DBT Location: Rhode Island (RI) Onsite Openings: 5 Job Summary We are ... Collaborate with business analysts, data architects, and application teams. * Support CI/CD ...

Snowflake Data Engineer - DBT

Columbia, SC · Hybrid

$105K - $127K/yr

This role involves working closely with data engineers analysts and other IT professionals to ... Proven experience in data engineering roles with a focus on Snowflake AWS services Python and DBT

Snowflake Data Engineer - DBT

Fort Mill, SC · On-site

$100K - $120K/yr

This role involves working closely with data engineers analysts and other IT professionals to ... DBT - Experience with DBT Data Build Tool for modeling data and creating data transformation ...

About This Role: We're looking for a Senior, dbt-specialised Analytics Engineer to build and ... Other location-specific benefits *not applicable for freelancers #J-18808-Ljbffr

Analytics Engineer Location: On-Site Miami • Reports to: Director, Data & Analytics • ... Design, build, and maintain dbt models across staging, intermediate, and mart layers on our AWS ...

Analytics Engineer Location: On-Site Miami · Reports to: Director, Data & Analytics · Department ... Design, build, and maintain dbt models across staging, intermediate, and mart layers on our AWS ...

Analytics Engineer II Location: Philadelphia, PA (Onsite) Duration: 6+ Months - possible conversion ... Experience developing analytics models using dbt. * Experience with data quality testing and ...

This role owns the dbt analytics transformation layer and dbt project stewardship, and partners with Data Engineering on upstream pipelines and data shaping to ensure analytics-ready inputs. This ...

$80K - $106K/yr

Collaborate with data scientists and analysts to understand data requirements and implement ... Proven experience in data engineering roles with a focus on Snowflake AWS services Python and DBT

Data Modeling & Analytics Engineering • Design, build, and maintain analytics ready data models using dbt, following dimensional and semantic modeling best practices (e.g., star schemas, marts ...

The Analytics Engineer will play a critical role in transforming raw data into trusted, analytics ... Implement dbt tests, documentation, and exposures to improve data quality, observability, and ...

The Analytics Engineer will play a critical role in transforming raw data into trusted, analytics ... Implement dbt tests, documentation, and exposures to improve data quality, observability, and ...

Build, refactor, and maintain production dbt models in Snowflake, including staging, intermediate ... Define and champion best practices for analytics engineering, documentation, and code review.

Build, refactor, and maintain production dbt models in Snowflake, including staging, intermediate ... Define and champion best practices for analytics engineering, documentation, and code review.

Collaborate with data scientists and analysts to understand data requirements and implement ... Proven experience in data engineering roles with a focus on Snowflake AWS services Python and DBT

Analytics Engineer

$138K - $161K/yr

About the Role: We're looking for an Analytics Engineer to help ensure data integrity across Extend ... You build and maintain data pipelines in Snowflake and dbt to support reliable, auditable ...

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Freelance Analytics Engineer Dbt information

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How much do freelance analytics engineer dbt jobs pay per hour?

As of Sep 14, 2026, the average hourly pay for freelance analytics engineer dbt in the United States is $47.71, according to ZipRecruiter salary data. Most workers in this role earn between $24.28 and $61.78 per hour, depending on experience, location, and employer.

What is a freelance analytics engineer dbt?

A Freelance Analytics Engineer Dbt is a professional who specializes in building, maintaining, and optimizing data transformation workflows using dbt (data build tool) on a contract or project basis. They help organizations clean, transform, and document data in their data warehouses, enabling data teams to perform accurate and efficient analytics. As freelancers, they work with multiple clients, often remotely, to design data models, write SQL-based transformations, and ensure data quality. Their expertise with dbt allows businesses to scale their analytics capabilities without hiring full-time staff.

How does a freelance analytics engineer specializing in dbt typically collaborate with client teams during a project?

As a Freelance Analytics Engineer with expertise in dbt, you will often work closely with both data engineering and business analytics teams. Your role usually involves translating business requirements into data models using dbt, conducting regular syncs to align on project goals, and providing documentation or training to client teams. Communication is key, as you'll need to clarify data definitions, troubleshoot pipeline issues, and ensure your dbt models integrate smoothly into the client's broader data infrastructure. Effective collaboration and adaptability are essential, since you'll likely juggle multiple stakeholders and varying technical environments across different projects.

What are the key skills and qualifications needed to thrive as a freelance analytics engineer specializing in dbt, and why are they important?

To thrive as a Freelance Analytics Engineer specializing in dbt, you need strong SQL proficiency, experience with data modeling, and a solid understanding of data warehousing concepts, often backed by a degree in computer science, data analytics, or a related field. Familiarity with dbt (data build tool), cloud data platforms like Snowflake or BigQuery, version control systems such as Git, and relevant dbt certifications are highly beneficial. Excellent problem-solving abilities, strong communication skills, and the capacity to work independently help you stand out in freelance and client-facing environments. These skills are crucial for delivering accurate, scalable data solutions and maintaining productive client relationships in dynamic, project-based settings.

What is the difference between Freelance Analytics Engineer Dbt vs Freelance Data Analyst?

AspectFreelance Analytics Engineer DbtFreelance Data Analyst
Skills & CertificationsProficiency in dbt, SQL, data modeling, and data transformation toolsStrong SQL skills, data visualization, and reporting tools
Work EnvironmentFocus on data transformation, pipeline development, and analytics engineeringData interpretation, reporting, and business insights
Industry UsageUsed in data engineering and analytics teams for building data modelsUsed across various industries for analyzing and reporting data

Freelance Analytics Engineer Dbt specialists focus on building and maintaining data pipelines using dbt, emphasizing data transformation and modeling. Freelance Data Analysts primarily interpret data, create reports, and provide insights. While both roles require SQL skills, the analytics engineer role involves more technical data pipeline work, whereas data analysts focus on business reporting and analysis.

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Infographic showing various Freelance Analytics Engineer Dbt job openings in the United States as of September 2026, with employment types broken down into 67% Full Time, and 33% Contract. Highlights an 67% In-person, and 33% Remote job distribution, with an average salary of $99,230 per year, or $47.7 per hour.

Data Engineer (DBT Specialist)

Albany, NY • Remote

$117K - $140K/yr

Other

Re-posted 22 days ago


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.
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.