1

Dbt Sql Jobs (NOW HIRING)

Snowflake Data Engineer - DBT

Johnston, RI ยท On-site

$115K - $138K/yr

Write highly optimized SQL for large-scale data processing. * Design and implement data warehouse ... Establish and enforce DBT development standards, testing, documentation, and best practices.

ETL Snowflake Developer

Reading, PA ยท On-site

$49 - $64/hr

Strong SQL/PL-SQL skills for querying and optimization. * Familiarity with Python for dbt pipeline enhancements. * Excellent problem-solving and communication skills. Thanks & Regards, Yashmita ...

DATA ENGINEER

Los Angeles, CA ยท On-site

$123K - $148K/yr

... avec dbt, SQL, Snowflake - Dรฉvelopper des visualisations (Power BI, Streamlit) Documentation & livrables - Rรฉdiger CDM, HLD, DAT, DEX - Produire documentation technique et comptes rendus ...

DATA ENGINEER

Los Angeles, CA ยท On-site

$123K - $148K/yr

... dbt, SQL, Snowflake- Developper des visualisations (Power BI, Streamlit) Documentation & livrables - Rediger CDM, HLD, DAT, DEX- Produire documentation technique et comptes rendus- Realiser les ...

dbt / Data Engineer

Des Plaines, IL ยท On-site

$111K - $134K/yr

dbt / Data Engineer Direct Client Location: Des Plaines, IL -- Hybrid, ~50% onsite Engagement ... Snowflake, SQL Server, advanced SQL, databases, Power BI Hands-on: ADF (Azure Data Factory), Python ...

dbt / Data Engineer

Des Plaines, IL ยท On-site

$111K - $134K/yr

dbt / Data Engineer Direct Client Location: Des Plaines, IL -- Hybrid, ~50% onsite Engagement ... Snowflake, SQL Server, advanced SQL, databases, Power BI Hands-on: ADF (Azure Data Factory), Python ...

Data Engineer

Dallas, TX ยท On-site

$105K - $120K/yr

Roles & Responsibilities We are seeking a highly skilled Data Engineer with strong expertise in Snowflake, dbt, SQL, Python, and AWS to support enterprise data modernization initiatives. The ideal ...

Data Engineer

$117K - $140K/yr

You will leverage your experience and skills with Data Modeling, SQL, Jinja templating and DBT to build robust, performant, and reliable data transformation and feature extraction pipelines

Snowflake DBT Engineer

New York, NY ยท On-site

$125K - $150K/yr

Job Title: Snowflake DBT Engineer Job Location: New York Job Type: Contract * Data Pipeline ... SQL Optimization Write and optimize complex SQL queries to ensure high performance and efficiency

dbt Engineer

Meridian, TX ยท On-site

$118K - $177K/yr

We're seeking out a dbt Engineer as an expert in data transformation and analytics engineering ... Expertise in writing and optimizing complex SQL queries. * Strong understanding of data modeling ...

next page

Showing results 1-20

Dbt Sql information

See salary details

$20

$52

$72

How much do dbt sql jobs pay per hour?

As of Aug 25, 2026, the average hourly pay for dbt sql in the United States is $52.60, according to ZipRecruiter salary data. Most workers in this role earn between $43.51 and $59.62 per hour, depending on experience, location, and employer.

What is a dbt sql?

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 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.

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.

More about Dbt Sql jobs

What cities are hiring for Dbt Sql jobs?

Cities with the most Dbt Sql job openings:

What are the most commonly searched types of Dbt Sql jobs?

The most popular types of Dbt Sql jobs are:

What states have the most Dbt Sql jobs?

States with the most job openings for Dbt Sql jobs include:

Infographic showing various Dbt Sql job openings in the United States as of August 2026, with employment types broken down into 1% Internship, 87% Full Time, 2% Part Time, and 10% Contract. Highlights an 77% Physical, 8% Hybrid, and 15% Remote job distribution, with an average salary of $109,407 per year, or $52.6 per hour.

Snowflake Data Engineer - DBT

Cliff Services Inc

Johnston, RI โ€ข On-site

$115K - $138K/yr

Other

Posted 5 days ago


Job description

Sr. Snowflake Data Engineer DBT Location: Rhode Island (RI) Onsite
Openings: 5 Job Summary

We are looking for a Senior Snowflake Data Engineer with strong hands-on expertise in Snowflake, DBT, SQL, data modeling, and modern data engineering. The candidate will be responsible for designing and developing scalable data pipelines and transformation frameworks supporting critical banking and financial data initiatives.

Key Responsibilities
  • Design, develop, and optimize scalable data pipelines using Snowflake and DBT.
  • Develop complex DBT models, macros, tests, snapshots, and reusable transformation frameworks.
  • Write highly optimized SQL for large-scale data processing.
  • Design and implement data warehouse and data mart solutions in Snowflake.
  • Develop ELT pipelines and integrate data from multiple source systems.
  • Perform data modeling, transformation, reconciliation, and data quality validation.
  • Optimize Snowflake queries, workloads, storage, and overall data processing performance.
  • Establish and enforce DBT development standards, testing, documentation, and best practices.
  • Troubleshoot complex data pipeline and production issues.
  • Participate in architecture and technical design discussions.
  • Mentor junior data engineers and conduct code/design reviews.
  • Collaborate with business analysts, data architects, and application teams.
  • Support CI/CD, automated testing, and deployment of data engineering solutions.
  • Ensure compliance with banking data governance, security, and regulatory requirements.
Required Skills
  • 5+ years of experience in Data Engineering.
  • Strong hands-on experience with Snowflake.
  • Advanced SQL development and optimization skills.
  • Strong hands-on experience with DBT.
  • Strong understanding of data warehousing, dimensional modeling, and ELT architecture.
  • Experience developing and managing enterprise-scale data pipelines.
  • Experience with Git and CI/CD practices.
  • Strong troubleshooting and performance-tuning skills.
  • Ability to work onsite in Rhode Island.
Preferred
  • Strong banking/financial services domain experience.
  • Experience with Python or other data engineering scripting languages.
  • Experience with cloud data platforms and modern data architecture.
  • Experience with DBT Cloud or enterprise DBT implementations.
  • Knowledge of data governance, data quality, security, and regulatory requirements.
  • Experience mentoring junior engineers and leading technical initiatives.