ZipRecruiter

Log In

1

Dbt Analytics Jobs (NOW HIRING)

SYSTEGRATION INC

dbt / Data Engineer

Des Plaines, IL · On-site

$111K - $134K/yr

... and analytics platform. · Design, develop, test, and deploy production-grade dbt models , including dependencies, tests, and data transformations. · Develop and optimize data solutions ...

RIT Solutions, Inc.

Snowflake DBT Developer

RIT Solutions, Inc. is seeking a Snowflake DBT Developer to lead the architecture and development ... and analytics environments • Strong communication and stakeholder management skills Company

Triwill Group

Resident Solutions Architect

California, MO · On-site

$180 - $225/hr

Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable ...

P2PSoftTek Inc

DBT Developer with AWS

Pleasanton, CA · On-site

Develop optimized analytical models in Amazon Redshift . * Optimize SQL queries and Redshift workloads to improve performance and reduce compute costs. * Orchestrate dbt and AWS data pipelines using ...

SYSTEGRATION INC

dbt / Data Engineer

Des Plaines, IL · On-site

$111K - $134K/yr

... and analytics platform. · Design, develop, test, and deploy production-grade dbt models , including dependencies, tests, and data transformations. · Develop and optimize data solutions ...

Coherent Solutions

NY · On-site

$120 - $180/hr

Experience with dbt, analytics engineering workflows, and data modeling, including dimensional modeling; * Experience optimizing Snowflake queries and data pipelines, including performance tuning;

Staffingine LLC

Snowflake DBT Engineer

New York, NY · On-site

$125K - $150K/yr

Job Title: Snowflake DBT Engineer Job Location: New York Job Type: Contract * Data Pipeline ... Collaboration Work closely with data analysts data scientists and business stakeholders to ...

3B Staffing LLC

Senior dbt / Data Engineer

West Chicago, IL · Hybrid

$117K - $140K/yr

Senior dbt / Data Engineer Location: Des Plaines, IL - Hybrid, approximately 50% onsite Engagement ... Build analytical datasets and dimensional data models to support business reporting and analytics.

New

3B Staffing LLC

Senior dbt / Data Engineer

West Chicago, IL · Hybrid

$117K - $140K/yr

Senior dbt / Data Engineer Location: Des Plaines, IL - Hybrid, approximately 50% onsite Engagement ... Build analytical datasets and dimensional data models to support business reporting and analytics.

New

Scrunch AI

AI Search Analyst

New York, NY · On-site

$115K - $145K/yr

BigQuery, ClickHouse, Postgres, dbt * Analytics: dashboards, notebooks, experimentation, reporting workflows Benefits for full-time US employees: Wellbeing: Medical, dental, vision, and life ...

Cliff Services Inc

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 ...

previous pagenext page

Showing results 21-40

All JobsTechnology JobsData JobsData Architect JobsDbt Analytics Jobs

Dbt Analytics information

See salary details

$37.5K

$63.9K

$92K

How much do dbt analytics jobs pay per year?

As of Sep 4, 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 is a dbt analytics?

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 are the key skills and qualifications needed to thrive as a dbt analytics professional?

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 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.

Is dbt in demand?

Dbt analytics engineers are increasingly in demand as organizations adopt modern data transformation tools to improve data workflows. Skills in SQL, data modeling, and familiarity with cloud platforms enhance job prospects in this field, which is growing alongside the broader data analytics industry.
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:

What job categories do people searching Dbt Analytics jobs look for?

The top searched job categories for Dbt Analytics jobs are:

Dbt Analytics jobs near you
Infographic showing various Dbt Analytics job openings in the United States as of August 2026, with employment types broken down into 1% Internship, 94% Full Time, 3% Part Time, and 2% Contract. Highlights an 79% Physical, 6% Hybrid, and 15% Remote job distribution, with an average salary of $63,903 per year, or $30.7 per hour.

Senior Business Intelligence Engineer

Team Velocity Marketing

Virginia, MN • On-site

$90 - $130/hr

Other

Medical, Dental, Vision, Retirement, PTO

Posted 3 days ago

New

Job description

We are seeking a Senior Business Intelligence Engineer to lead the design, development, and evolution of enterprise reporting and analytics solutions that drive strategic decision-making across the organization. This role combines deep technical expertise with strong business acumen to deliver scalable data models, executive dashboards, self‑service analytics, and data storytelling. The ideal candidate will partner with cross‑functional leaders, mentor team members, and help define the organization's BI strategy while ensuring data quality, governance, and best practices.

Responsibilities
  • Lead the design, development, and optimization of enterprise dashboards, reports, and self‑service analytics solutions.
  • Partner with executive leadership, product, sales, marketing, and operations teams to define KPIs and reporting strategies.
  • Architect scalable semantic models and reporting standards across the organization.
  • Develop executive, operational, and customer‑facing analytics products.
  • Leverage Snowflake and modern cloud data platforms to transform and optimize large datasets for reporting.
  • Drive adoption of Microsoft Fabric, Power BI, Tableau, Looker, or similar BI technologies.
  • Collaborate with Data Engineering and Analytics Engineering teams to improve data pipelines and data quality.
  • Identify opportunities for automation and process improvements.
  • Establish data governance, metric definitions, and reporting best practices.
  • Mentor junior BI engineers and analysts while promoting engineering excellence.
  • Present findings and recommendations to senior leadership and business stakeholders.
Qualifications
  • 7+ years of experience in business intelligence, analytics engineering, data analytics, or related disciplines.
  • Expert‑level SQL skills and extensive experience with Snowflake or similar cloud data platforms.
  • Advanced experience with Power BI, Microsoft Fabric, Tableau, Looker, or equivalent BI platforms.
  • Strong understanding of dimensional modeling, semantic layers, KPI frameworks, and enterprise reporting architecture.
  • Experience working with large, complex datasets and optimizing query performance.
  • Ability to communicate technical concepts to executive and non‑technical audiences.
  • Experience leading projects and influencing cross‑functional teams.
  • Strong commitment to data quality, governance, and documentation.
Preferred Experience
  • Automotive industry experience with dealership, OEM, consumer, telematics, aftermarket, finance, or mobility data.
  • Experience with Python, dbt, analytics engineering workflows, and modern ELT architectures.
  • Knowledge of cloud ecosystems and data integration technologies.
  • Experience building customer‑facing analytics products.
  • Experience mentoring teams in a remote‑first environment.
Compensation

Compensation commensurate on experience. Participation in company benefit offerings include medical, dental, vision, unlimited paid leave, 401(k) matching, wellness, and more.

Local and remote candidates living within Eastern or Central Time Zone will be considered.

#J-18808-Ljbffr

Apply