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Analytics Engineer Dbt Jobs (NOW HIRING)

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 ...

You'll spend roughly half your time on dbt model development and half on Tableau dashboard delivery and business stakeholder engagement - the bridge between our Analytics Engineering platform and the ...

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 ...

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 ...

You'll spend roughly half your time on dbt model development and half on Tableau dashboard delivery and business stakeholder engagement - the bridge between our Analytics Engineering platform and the ...

... dbt models: builds, tests, and documents staging, intermediate, and mart models that serve as the ... in analytics engineering, data engineering, or a data analyst role that included dbt and data ...

Required : • 3+ years of experience in analytics engineering, data analytics, or a hybrid data role • Deep expertise in SQL and dbt • Experience with BigQuery or comparable cloud data ...

We are seeking an Analytics Engineer to design and build our DBT analytics infrastructure from the ground up. This is a greenfield opportunity for someone who has done it before and knows exactly how ...

TITLE: Senior Analytics Engineer EMPLOYER: ID.me, LLC (formerly known as: ID.me, Inc.) LOCATION ... Support our data infrastructure which includes Snowflake, dbt, Sigma, and GCP services. Educate the ...

About the Role We are looking for an experienced Analytics Engineer to own and evolve the BI team's technical infrastructure (Snowflake, dbt, GitLab CI/CD, scheduling frameworks, and ingestion ...

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 ...

We are seeking an Analytics Engineer to design and build our DBT analytics infrastructure from the ground up. This is a greenfield opportunity for someone who has done it before and knows exactly how ...

We are seeking an Analytics Engineer to design and build our DBT analytics infrastructure from the ground up. This is a greenfield opportunity for someone who has done it before and knows exactly how ...

As an Analytics Engineer, you will play a crucial role in driving data-driven decision making ... Create tests for dbt models to ensure data quality and manage our daily dbt runs (via dbt Cloud)

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As an Analytics Engineer, you will play a crucial role in driving data-driven decision making ... Create tests for dbt models to ensure data quality and manage our daily dbt runs (via dbt Cloud)

Establish data quality checks and validation processes within dbt workflows Performance ... of experience in analytics engineering, data engineering, or similar role * Advanced SQL ...

... dbt within a Databricks Lakehouse environment. • Build scalable, maintainable, and reusable data ... for analytics engineering standards, modeling conventions, naming patterns, and testing best ...

This is a hands-on engineering role: you'll own dbt models, build and maintain Dagster pipelines ... Collaborate with analysts and other engineers to keep data models understandable and well ...

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Analytics Engineer Dbt information

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How much do analytics engineer dbt jobs pay per year?

As of Jul 10, 2026, the average yearly pay for analytics engineer dbt in the United States is $95,796.00, according to ZipRecruiter salary data. Most workers in this role earn between $81,000.00 and $116,000.00 per year, depending on experience, location, and employer.

What is an Analytics Engineer Dbt job?

An Analytics Engineer specializing in dbt (data build tool) is responsible for transforming raw data into clean, well-structured datasets that enable data-driven decision-making. They bridge the gap between data engineers and analysts by writing modular, reusable SQL code in dbt to build and maintain data models. Their role involves managing data transformations, ensuring data quality, and optimizing performance within a modern data stack.

What types of projects and responsibilities can I expect as an Analytics Engineer Dbt?

As an Analytics Engineer Dbt, you'll focus on designing and building robust data transformation pipelines using dbt, ensuring that raw data is modeled into well-structured, analysis-ready datasets for downstream users. Your daily responsibilities typically include collaborating with data analysts, data engineers, and business stakeholders to define data requirements, building documentation, performing code reviews, and maintaining high standards of data quality. You may also participate in optimizing query performance, automating data validation processes, and contributing to data governance initiatives. This role offers the opportunity to work at the intersection of analytics and engineering, providing both technical challenges and strategic business impact.

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

To thrive as an Analytics Engineer Dbt, you need expertise in SQL, data modeling, and modern data warehousing concepts, often supported by a degree in computer science, data analytics, or a related field. Proficiency with dbt (data build tool), version control systems like Git, and familiarity with cloud data platforms such as Snowflake, BigQuery, or Redshift is essential, with dbt certification considered a plus. Strong problem-solving abilities, communication skills, and a collaborative mindset help in effectively translating business needs into scalable data solutions. These skills are crucial for building reliable analytics workflows, ensuring data quality, and bridging the gap between data engineering and analytics teams.

More about Analytics Engineer Dbt jobs
What cities are hiring for Analytics Engineer Dbt jobs? Cities with the most Analytics Engineer Dbt job openings:
What are the most commonly searched types of Analytics Engineer Dbt jobs? The most popular types of Analytics Engineer Dbt jobs are:
What states have the most Analytics Engineer Dbt jobs? States with the most job openings for Analytics Engineer Dbt jobs include:
Infographic showing various Analytics Engineer Dbt job openings in the United States as of July 2026, with employment types broken down into 1% Internship, 94% Full Time, 3% Part Time, and 2% Contract. Highlights an 79% Physical, 5% Hybrid, and 16% Remote job distribution, with an average salary of $95,796 per year, or $46.1 per hour.

Data Engineer (DBT Specialist)

ACS Consultancy Services

Albany, NY • Remote

$117K - $140K/yr

Other

Re-posted 16 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.