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Dbt Analytics Jobs (NOW HIRING)

Resident Architect

OR · On-site +1

$114K - $137.70K/yr

Experience using, deploying, or configuring dbt in an enterprise setting - working with dbt for minimum 1 year * Proficiency in writing SQL and python in analytics contexts * You look forward to ...

dbt Engineer II or III

Meridian, TX · On-site +1

$96.18K - $144.28K/yr

We're seeking out a dbt Engineer as an expert in data transformation and analytics engineering, responsible for leading the design, implementation, and optimization of our data pipelines using dbt ...

About Us dbt Labs is the pioneer of analytics engineering, helping data teams transform raw data into reliable, actionable insights. Since 2016, we've grown from an open source project into the ...

Manager, Software Engineering

OR · On-site +1

$186K - $225K/yr

You have a strong POV on how to maintain dbt's "Analytics Engineering" rigors (testing, CI/CD) in an AI-driven world. You are a good fit if you have: * A passion for Developer Tools: You understand ...

Hands-on experience deploying or configuring dbt Cloud, with at least 1 year working with dbt * Strong proficiency in SQL; working knowledge of Python in analytics contexts preferred * Comfort ...

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 ...

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 ...

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 ...

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Dbt Analytics information

See salary details

$37.5K

$63.9K

$92K

How much do dbt analytics jobs pay per year?

As of May 29, 2026, the average yearly pay for dbt analytics in the United States is $63,903.00, according to ZipRecruiter salary data. Most workers in this role earn between $53,000.00 and $71,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a DBT Analytics professional, and why are they important?

To thrive as a DBT Analytics professional, you need strong SQL skills, a solid understanding of data modeling, and experience with analytics engineering, typically backed by a degree in a quantitative field. Familiarity with the DBT (Data Build Tool) platform, cloud data warehouses like Snowflake or BigQuery, and version control systems such as Git is essential. Attention to detail, problem-solving abilities, and effective communication help you collaborate with stakeholders and ensure data reliability. These skills and tools are crucial for transforming raw data into actionable insights and maintaining robust, scalable analytics infrastructure.

How does a Dbt Analytics professional typically collaborate with data engineers and analysts within a team?

Dbt Analytics professionals play a key role in bridging the work of data engineers and data analysts. They transform raw data into clean, well-documented, and analysis-ready datasets using dbt (data build tool), ensuring consistency and reliability. Collaboration often involves working closely with data engineers to understand data sources and pipelines, while also partnering with analysts to tailor data models to business needs. Effective communication and regular feedback loops are crucial, as dbt professionals often serve as the link between technical data infrastructure and business-facing analysis.

What is a dbt Analytics job?

A dbt Analytics job typically refers to a role focused on using dbt (data build tool) to transform, test, and document data within a data warehouse. Professionals in this field design and manage data models, write SQL-based transformations, and ensure data quality for analytics purposes. They collaborate with data engineers and analysts to build efficient, maintainable workflows that support business intelligence and data-driven decision-making. dbt Analytics jobs require strong SQL skills, familiarity with modern data stack tools, and an understanding of data modeling best practices.

What is the difference between Dbt Analytics vs Data Analyst?

AspectDbt AnalyticsData Analyst
Required CredentialsSQL, data modeling, analytics certificationsStatistics, Excel, SQL, sometimes certifications
Work EnvironmentData teams, analytics platforms, cloud environmentsBusiness units, reporting tools, spreadsheets
Industry UsageData transformation, modeling, analytics pipelinesData interpretation, reporting, insights

While Dbt Analytics focuses on transforming and modeling data within analytics workflows, Data Analysts primarily interpret data and generate reports. Both roles require SQL skills and work closely with data teams, but Dbt Analytics emphasizes data transformation using tools like dbt, whereas Data Analysts focus on analyzing and communicating insights.

More about Dbt Analytics jobs
What cities are hiring for Dbt Analytics jobs? Cities with the most Dbt Analytics job openings:
What are the most commonly searched types of Dbt Analytics jobs? The most popular types of Dbt Analytics jobs are:
What states have the most Dbt Analytics jobs? States with the most job openings for Dbt Analytics jobs include:
Infographic showing various Dbt Analytics job openings in the United States as of May 2026, with employment types broken down into 6% Internship, 1% As Needed, 41% Full Time, 46% Part Time, and 6% Contract. Highlights an 99% Physical, and 1% Remote job distribution, with an average salary of $63,903 per year, or $30.7 per hour.

$96.18K - $144.28K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 4 days ago


Job description

We're seeking out a dbt Engineer as an expert in data transformation and analytics engineering, responsible for leading the design, implementation, and optimization of our data pipelines using dbt (Data Build Tool) Cloud in a Snowflake environment. This role requires deep knowledge of dbt guidelines, ecosystem tooling, and continuous integration and delivery pipelines to deliver high-quality, trusted data models for analytics, reporting, and downstream applications. You will be instrumental in building a modern data platform that is scalable, reliable, and well-documented.
Key Responsibilities
dbt Development and Best Practices
  • Build, develop, and maintain a robust dbt project using dbt Cloud, ensuring alignment with a layered approach (e.g., staging, intermediate, marts).

Data Pipeline Implementation
  • Build and maintain optimized ELT/ETL pipelines within Snowflake using dbt, focusing on efficient SQL transformations, materializations (tables, views, incremental models), and performance tuning.

Automation and CI/CD
  • Implement and manage CI/CD pipelines for dbt using dbt Cloud's native features or integrations with tools like GitHub Actions, ensuring that code changes are automatically tested and deployed.

Testing and Data Quality
  • Develop and implement a comprehensive testing strategy using dbt's built-in and custom tests to ensure data quality, accuracy, and integrity.
  • Leverage external integrations and dbt packages for advanced testing, data observability (e.g., Metaplane), and data quality monitoring.

Data Lineage and Governance
  • Apply dbt's data lineage features to create a transparent, end-to-end view of data flow from source to final models, visualizing dependencies via the Directed Acyclic Graph (DAG).
  • Enrich models with metadata and documentation using schema.yml to improve data discovery and governance.

Collaboration and Mentorship
  • Collaborate with data analysts, data scientists, and business partners to translate business requirements into technical dbt models.
  • Provide technical leadership, participate in code reviews, and mentor other team members on dbt methodologies and engineering standard processes.

Performance Optimization
  • Actively monitor and optimize dbt project performance in Snowflake, including managing costs, optimizing query execution, and selecting the most appropriate materialization strategy.

Advanced Features and Ecosystem
  • Stay current with new dbt features (e.g., Semantic Layer, column-level lineage) and leverage other tools in the modern data stack to enhance dbt capabilities.

Required Qualifications
Location: this position has preference to based in hybrid work location (onsite at Meridian Idaho campus and WFH). There may be opportunity for fully remote within a mutually acceptable location. #LI-Hybrid
Education: Bachelor's degree in quantitative or related technical field, or equivalent practical experience (two years' relevant work experience is equivalent to one-year college).
Experience: 2-4/+ in data engineering or analytics engineering, preferably in healthcare. Experience should also span:
  • 2-3+ years of extensive experience with dbt, including advanced concepts like Jinja macros, packages, and custom tests. Hands-on experience with dbt Cloud, including project setup, environment management, and job orchestration.
  • Proven experience working with a cloud data warehouse, preferably Snowflake.
  • Expertise in writing and optimizing complex SQL queries.
  • Strong understanding of data modeling principles (e.g., Kimball, Data Vault).
  • Experience with Python scripting for data-related tasks and automation.
  • Familiarity with version control (Git) and CI/CD practices.
  • Excellent communication, problem-solving, and collaboration skills.

Preferred Qualifications
  • Leveraging AI-powered assistants is highly desired. (e.g., Claude Code, dbt Copilot, Cursor) to automate routine tasks, including generating documentation, authoring data quality tests, and scaffolding dbt models.
  • Implementing AI-enhanced workflows is highly desired. (To streamline development, using intelligent code suggestions and state-aware orchestration to reduce manual refactoring and increase developer velocity, etc)
  • dbt Certification (e.g., dbt Analytics Engineering Certification)

As of the date of this posting, a good faith estimate of the current pay range is $96,183 to $144,275 as Engineer II; $118,506 to $177,758 as Engineer III. The position is eligible for an annual incentive bonus (variable depending on company and employee performance).
The pay range for this position takes into account a wide range of factors including, but not limited to, specific competencies, relevant education, qualifications, certifications, relevant experience, skills, seniority, performance, travel requirements, internal equity, business or organizational needs, and alignment with market data. At Blue Cross of Idaho, it is not typical for an individual to be hired at or near the top range for the position. Compensation decisions are dependent on factors and circumstances at the time of offer.
We offer a robust package of benefits including paid time off, paid holidays, community service and self-care days, medical/dental/vision/pharmacy insurance, 401(k) matching and non-contributory plan, life insurance, short and long term disability, education reimbursement, employee assistance plan (EAP), adoption assistance program and paid family leave program.
We will adhere to all relevant state and local laws concerning employee leave benefits, in line with our plans and policies.
Reasonable accommodations
To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed above are representative of the knowledge, skill and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity, status as a veteran, and basis of disability or any other federal, state or local protected class.