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Remote Dbt Sql Jobs (NOW HIRING)

dbt Labs

Senior Data Engineer

OR · On-site +1

$147K - $178K/yr

As a Senior Data Engineer at dbt Labs, you'll build and maintain the core data platform ... Expert-level SQL and Python skills * 5+ years of experience as a data engineer, and 8+ years of ...

TechTorch

AI Data Engineer - Cortex AI

$117K - $140K/yr

Build and optimize ELT pipelines using tools such as dbt , SQL, and Python * Integrate data from ... Flexible, remote-first working environment with autonomy and ownership

Iridium Satellite, LLC

Data Engineer III

Chandler, AZ · Remote

$110K - $132K/yr

... and remote operations all rely on Iridium to stay connected. We take our responsibility for ... Strong proficiency in Snowflake, DBT, SQL, Python, and modern ETL/ELT frameworks * Experience with ...

Iridium Satellite LLC

Data Engineer III

Chandler, AZ · Remote

$116K - $140K/yr

... and remote operations all rely on Iridium to stay connected. We take our responsibility for ... Strong proficiency in Snowflake, DBT, SQL, Python, and modern ETL/ELT frameworks * Experience with ...

Iridium Satellite, LLC

Data Engineer III

Chandler, AZ · Remote

$110K - $132K/yr

... and remote operations all rely on Iridium to stay connected. We take our responsibility for ... Strong proficiency in Snowflake, DBT, SQL, Python, and modern ETL/ELT frameworks * Experience with ...

Merican

Data Engineer

$117K - $140K/yr

Remote Make your impact within a rapidly growing Fintech Company * The Data Operations team builds ... Fix Redshift and Snowflake SQL Syntax to Trino Syntax in our dbt models. * Version control dbt ...

Mainz Brady Group

Senior Data Engineer

Portland, OR · Remote

$112K - $152K/yr

Senior Data Engineer | Remote | Healthcare / Payer Experience Preferred We're looking for a Senior ... SQL using CTEs, complex joins, analytic functions, and windowing functions Build and optimize DBT ...

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How much do remote dbt sql jobs pay per hour?

As of Jun 14, 2026, the average hourly pay for remote 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 Remote DBT SQL Developer?

A Remote DBT SQL Developer is a professional who specializes in using DBT (Data Build Tool) and SQL (Structured Query Language) to transform, model, and manage data pipelines, all while working remotely. They are responsible for writing and maintaining SQL-based models, testing data quality, and automating data workflows within analytics engineering teams. Working remotely allows them to collaborate with teams from various locations, using cloud-based tools to ensure data reliability and accessibility.

What are some common challenges faced by Remote DBT SQL professionals, and how can they be addressed?

Remote DBT SQL professionals often encounter challenges such as maintaining clear communication with team members, ensuring data model consistency, and troubleshooting issues without immediate in-person support. To overcome these, it's important to leverage collaboration tools, establish thorough documentation practices, and participate in regular virtual meetings. Staying proactive in seeking feedback and aligning with project standards also helps ensure smooth remote workflows and successful data transformations.

What are the key skills and qualifications needed to thrive as a Remote DBT SQL Developer, and why are they important?

To excel as a Remote DBT SQL Developer, you need strong SQL skills, experience with data modeling, and a solid understanding of ETL processes, often supported by a background in computer science or data engineering. Familiarity with DBT (Data Build Tool), cloud data warehouses like Snowflake or BigQuery, and version control systems such as Git is typically required. Excellent problem-solving, attention to detail, and effective remote communication help set outstanding professionals apart in this role. These skills and tools ensure efficient, high-quality data pipeline development and collaboration across distributed teams.

What is the difference between Remote Dbt Sql vs Data Analyst?

AspectRemote Dbt SqlData Analyst
Required SkillsSQL, data modeling, Dbt framework, ETL processesSQL, data visualization, statistical analysis
CertificationsNone mandatory, familiarity with Dbt preferredNone mandatory, often certifications like Microsoft or Tableau
Work EnvironmentRemote, data engineering or analytics teamsRemote or on-site, business or marketing teams
Industry UsageData engineering, analytics, BI teamsBusiness intelligence, marketing, finance

Remote Dbt Sql roles focus on building data pipelines and models using Dbt and SQL, often within data engineering teams. Data Analysts interpret data, create reports, and visualize insights, sometimes using SQL but with less emphasis on data modeling frameworks. Both roles may be remote and require SQL skills, but their core responsibilities and tools differ significantly.

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Remote Dbt Sql jobs near you
Senior Data Engineer

Senior Data Engineer

dbt Labs

OR • On-site, Remote

$147K - $178K/yr

Other

Medical, Retirement, PTO

Posted 10 days ago

Job description

As a Senior Data Engineer at dbt Labs, you'll build and maintain the core data platform infrastructure that powers our internal analytics and data products. You'll own the platform that makes data trustworthy at every layer - from the contracts that govern how it lands, to the infrastructure that stores, transforms, and delivers it across the business. This role is a part of a tight-knit, strategic team that combines strong technical execution with a bias for impact and cross-functional influence.

This is a unique opportunity to work on infrastructure that sits at the center of how dbt Labs runs as a business - with executive visibility, deep cross-functional reach, and the added dimension of dogfooding the very products we build. If you're excited by the challenge of solving hard platform problems with cutting-edge tooling and making a direct, lasting impact on company growth, this role is for you.

In this role, you can expect to:
  • Own the architecture and operations of our data lakehouse, including object storage, table formats, maintenance, and query engine integrations
  • Build and maintain the infrastructure layer that transforms and serves data reliably at scale-from raw landing zones through to curated, queryable datasets
  • Partner with product engineering to establish data contracts and schema standards around event telemetry, ensuring data arrives in the lakehouse in a form that's reliable and ready for downstream use
  • Drive decisions on data platform architecture, tooling, and engineering best practices across storage, compute, and access layers
  • Enhance observability and monitoring of data infrastructure, including pipeline reliability, data freshness, and system performance
  • Partner cross-functionally with teams across Analytics, Infrastructure, and Product to understand data needs and deliver impactful platform solutions
  • Provide product feedback by dogfooding new data infrastructure and AI technology
You're a great fit if you have:
  • Expert-level SQL and Python skills
  • 5+ years of experience as a data engineer, and 8+ years of total experience in software engineering (including data engineering roles)
  • Strong knowledge of data lakehouse architecture, including storage layer design, table formats, and compute/query engine integration
  • Experience defining and enforcing data contracts or schema standards in collaboration with upstream engineering teams
  • Hands-on experience with modern orchestration tools like Airflow, Dagster, or Prefect
  • Working knowledge of cloud infrastructure tooling, including Terraform, Helm, and Kubernetes
  • Hands-on experience running Apache Spark in production, including job tuning, cluster sizing, and managing failures at scale
  • A bias for action-able to stay focused and prioritize effectively in an ambiguous environment
You'll stand out if you have:
  • Experience developing and scaling dbt projects
  • Hands-on experience with Apache Iceberg or other open table formats in production, including multi-region or multi-cloud deployments
  • Experience designing platform infrastructure that serves multiple downstream teams and use cases
  • Experience working in a SaaS or high-growth tech environment
Remote Hiring Process:
  • Interview with a Talent Acquisition Partner
  • Interview with Hiring Manager
  • Team Interviews
  • Final wrap up/ values discussion with Data Leader
Compensation:

We offer competitive compensation packages commensurate with experience, including salary, equity, and where applicable, performance-based pay. Our Talent Acquisition Team can answer questions around dbt Lab's total rewards during your interview process. In select locations (including Boston, Chicago, Denver, Los Angeles, Philadelphia, New York City, San Francisco, Washington, DC, and Seattle), an alternate range may apply, as specified below.

  • The typical starting salary range for this role is: 
    • $147,000 - $178,000
  • The typical starting salary range for this role in the select locations listed is:
    • $163,000 - $198,000
Benefits:
  • Unlimited vacation time with a culture that actively encourages time off
  • 401k plan with 3% guaranteed company contribution
  • Comprehensive healthcare coverage
  • Generous paid parental leave
  • Flexible stipends for:
    • Health & Wellness
    • Home Office Setup
    • Cell Phone & Internet
    • Learning & Development
    • Office Space

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