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Dbt Sql Jobs (NOW HIRING)

Mercor

Data Engineer

San Francisco, CA · On-site

$130K - $500K/yr

Implementing scalable, fault-tolerant data workflows with Fivetran, dbt, SQL, and Python. * Partnering with engineers, data scientists, and business stakeholders to ensure data availability, accuracy ...

ALO

Lead Data Engineer

Beverly Hills, CA

$180K - $250K/yr

Data Engineering * dbt, SQL, Python * Batch and real-time pipelines * Medallion architecture * Analytics & Data Products * Tableau and ThoughtSpot * Semantic layers and KPI standardization

CPI Security

Senior Data Engineer

Charlotte, NC

$103K - $140K/yr

MSSQL Server SQL and SSIS * Advanced SQL and data modeling expertise with dimensional modeling and data vault modeling * Strong dbt skills for data staging, cleaning, transformation, testing, and ...

AssetMark, Inc.

Associate Data Engineer

Charlotte, NC · On-site

$111K - $134K/yr

Build, test, and maintain dbt/SQL data transformations and pipelines that deliver reliable, analytics-ready datasets in Snowflake * Data Modeling: Assist in developing dimensional models, curated ...

Inroads

OR · On-site

Create SQL-based data models in dbt. This includes working with data engineers, data scientists, and data analysts both to refactor legacy code, and to build new data transformations that meet ...

CPI Security

Senior Data Engineer

Charlotte, NC · On-site

$103K - $140K/yr

MSSQL Server SQL and SSIS * Advanced SQL and data modeling expertise with dimensional modeling and data vault modeling * Strong dbt skills for data staging, cleaning, transformation, testing, and ...

CPI Security

Senior Data Engineer

Charlotte, NC · On-site

$103K - $140K/yr

MSSQL Server SQL and SSIS * Advanced SQL and data modeling expertise with dimensional modeling and data vault modeling * Strong dbt skills for data staging, cleaning, transformation, testing, and ...

Inroads

Senior Associate, Analytics

Washington, DC · On-site +1

Create SQL-based data models in dbt. This includes working with data engineers, data scientists, and data analysts both to refactor legacy code, and to build new data transformations that meet ...

AssetMark

Associate Data Engineer

Charlotte, NC · On-site

$111K - $134K/yr

Build, test, and maintain dbt/SQL data transformations and pipelines that deliver reliable, analytics-ready datasets in Snowflake * Data Modeling: Assist in developing dimensional models, curated ...

Spot & Tango

Analytics Engineer

New York, NY · On-site

You are comfortable using a variety of data technologies, especially dbt, SQL, python, Google BigQuery, and BI tools (we use Omni), and are excited about learning new skills. You are comfortable with ...

Inroads

Senior Associate, Analytics

... SQL-based data models in dbt. This includes working with data engineers, data scientists, and data analysts both to refactor legacy code, and to build new data transformations that meet business ...

Spot & Tango

Analytics Engineer

New York, NY · On-site

You are comfortable using a variety of data technologies, especially dbt, SQL, python, Google BigQuery, and BI tools (we use Omni), and are excited about learning new skills. You are comfortable with ...

Setpoint

Staff Analytics Engineer

Austin, TX · On-site +1

A technical problem solver - you're fluent in Python, SQL, and DBT, and know how to integrate them into a seamless analytics workflow. * A team collaborator - you thrive in cross-functional work with ...

ALO

Lead Data Engineer

Beverly Hills, CA · On-site

$180K - $250K/yr

Data Engineering * dbt, SQL, Python * Batch and real-time pipelines * Medallion architecture * Analytics & Data Products * Tableau and ThoughtSpot * Semantic layers and KPI standardization

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How much do dbt sql jobs pay per hour?

As of Aug 7, 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 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.

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.

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Dbt Sql jobs near you
Infographic showing various Dbt Sql job openings in the United States as of August 2026, with employment types broken down into 25% Temporary, and 75% Contract. Highlights an 75% In-person, and 25% Remote job distribution, with an average salary of $109,407 per year, or $52.6 per hour.

Data Engineer

Mercor

San Francisco, CA • On-site

$130K - $500K/yr

Full-time

Medical, Dental, Vision

Re-posted 13 days ago

Job description

About Mercor
Mercor's mission is to organize human intelligence to power the AI economy. We're a leading AI data company, building the layer between human expertise and frontier models. Millions of domain experts on the platform are paid over $4 million per day to train frontier AI models. Mercor's APEX benchmark family measures AI's real-world impact on professional work. Mercor Enterprise brings this same infrastructure to Fortune 500 companies: helping companies capture how their best people actually work, translating that expertise directly back into agents.
Mercor is creating a new category of work where expertise powers AI advancement. Achieving this requires an ambitious, fast-paced and deeply committed team. You'll work alongside researchers, operators, and AI companies at the forefront of shaping the systems that are redefining society. Mercor is a profitable Series C company valued at $10 billion. We work in-person five days a week in our San Francisco, NYC, or London offices.
About the Role
We're looking for someone who wants to bring a full-stack perspective to data. As a Software Engineer supporting our Data function, you will be responsible for creating and maintaining pipelines that enable our Data Science, Engineering, and Product teams, and the wider Mercor organization.
Your focus will be on data reliability, availability, and timeliness, with a focus on collaboration (and significant operational crossover with) our Data Science team and the many partner functions.
What You'll Work On
  • Building robust pipelines to ingest, transform, and consolidate data from diverse sources (e.g., MongoDB, Airtable, PostHog, production databases).
  • Designing dbt models and transformations to standardize and unify many disparate tables into clean, production-ready schemas.
  • Implementing scalable, fault-tolerant data workflows with Fivetran, dbt, SQL, and Python.
  • Partnering with engineers, data scientists, and business stakeholders to ensure data availability, accuracy, and usability.
  • Owning data quality and reliability across the stack, from ingestion through to consumption.
  • Continuously improving pipeline performance, monitoring, and scalability.

What We're Looking For
  • Proven experience in data engineering, with strong knowledge of SQL, Python, and modern data stack tools (Fivetran, dbt, Snowflake or similar).
  • Experience building and maintaining large-scale ETL/ELT pipelines across heterogeneous sources (databases, analytics platforms, SaaS tools).
  • Strong understanding of data modeling, schema design, and transformation best practices.
  • Familiarity with data governance, monitoring, and quality assurance.
  • Comfort working cross-functionally with engineering, product, and operations teams.
  • Bonus: prior experience supporting machine learning workflows or analytics platforms.

Why Mercor
  • Impact: Your work powers how the world's leading AI labs train and test their models.
  • Learning: Get early insights into frontier model capabilities months before the market.
  • Growth: Work on both infrastructure and research-adjacent projects with fast paths to ownership.

Benefits
  • Bi-annual performance bonus structure
  • Generous equity grant vested over 4 years
  • Up to $15k Relocation bonus
  • $10K housing bonus (if you live within 0.5 miles of our office)
  • $1.5K monthly stipend for meals
  • Free Equinox membership
  • $200 monthly laundry reimbursement
  • $200 monthly personal wellness reimbursement
  • Health, Dental, Vision insurance

Apply