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Dbt Developer Jobs in Georgetown, TX (NOW HIRING)

Data Engineer

Austin, TX · On-site

$113K - $136K/yr

Own the dbt project structure. specific responsibilities include: * Developing complex SQL-based data models (incremental models, snapshots). * Writing Jinja macros to keep code DRY (Don't Repeat ...

Senior Python Developer with Snowflake

Rollingwood, TX · On-site

$117K - $158K/yr

Senior Python Developer with Snowflake Experience: 12+ Years Location: TX (Onsite) Work type: C2C ... Knowledge of DBT (Data Build Tool) is highly preferred. * Familiarity with Kafka or other streaming ...

Senior Analytics Engineer

Austin, TX

$103K - $142K/yr

As the technical expert for the dbt and Sigma ecosystem, you will mentor other engineers, promote engineering excellence, and ensure the analytics layer is reliable, scalable, and easy to consume.

Senior Data Engineer - People Technology

Austin, TX · On-site

$105K - $142K/yr

We are building our People Analytics platform from scratch on a modern data stack (GCP/BigQuery, CData, dbt). We are looking for a Senior Analytics Engineer to lead the architecture, implementation ...

Lead Data Engineer

Austin, TX · Remote

$113K - $136K/yr

The ideal candidate is a hands-on data engineering leader with expertise in cloud-based data ... Establish enterprise testing practices, including data validation frameworks, dbt testing standards ...

Lead Data Engineer

Austin, TX · Remote

$113K - $136K/yr

The ideal candidate is a hands-on data engineering leader with expertise in cloud-based data ... Establish enterprise testing practices, including data validation frameworks, dbt testing standards ...

Data Engineer II

Austin, TX · On-site +1

$113K - $136K/yr

Develop and maintain data tests, including dbt tests, to support data quality and reliability ... AWS Certified Cloud Practitioner, AWS Certified Developer - Associate, AWS Certified Data Engineer ...

Data Engineer II

Austin, TX · On-site +1

$113K - $136K/yr

Develop and maintain data tests, including dbt tests, to support data quality and reliability ... AWS Certified Cloud Practitioner, AWS Certified Developer - Associate, AWS Certified Data Engineer ...

Senior R&D Software Engineer, Fivetran AI

Austin, TX · On-site

$121K - $160K/yr

About Us Fivetran and dbt Labs are bringing together two industry-leading companies with a shared ... Fivetran is looking for a Senior R&D Software Engineer to join our fast-growing Fivetran AI team.

Senior Data Engineer - People Technology

Austin, TX · On-site

$105K - $142K/yr

We are building our People Analytics platform from scratch on a modern data stack (GCP/BigQuery, CData, dbt). We are looking for a Senior Analytics Engineer to lead the architecture, implementation ...

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 ...

You can expect roughly a 30% data pipeline / new dbt table building (lightweight, not heavy ETL) and 70% feature engineering, modeling, deployment, and monitoring split in your day-to-day work. You ...

Data Engineering Manager

Austin, TX · On-site

$170K - $225K/yr

As a Data Engineering Manager on our Data Platform team, you will lead a small, high-leverage team ... You can read and critique a dbt model, a pipeline DAG, or a schema design and have an informed ...

You can expect roughly a 30% data pipeline / new dbt table building (lightweight, not heavy ETL) and 70% feature engineering, modeling, deployment, and monitoring split in your day-to-day work. You ...

Sr. Quality Engineer

Austin, TX · On-site

$87K - $118K/yr

CI/CD Collaboration Partner with DevOps and engineering to ensure automated test suites are ... Familiarity with dbt test frameworks and data warehouse environments (Redshift or Snowflake)

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Dbt Developer information

See Georgetown, TX salary details

$15

$49

$75

How much do dbt developer jobs pay per hour?

As of Sep 1, 2026, the average hourly pay for dbt developer in Georgetown, TX is $49.09, according to ZipRecruiter salary data. Most workers in this role earn between $37.50 and $60.10 per hour, depending on experience, location, and employer.

What is a dbt developer?

A Dbt Developer is a data professional who specializes in using dbt (data build tool) to transform raw data into clean, reliable datasets for analytics and business intelligence. They write modular SQL code to perform data transformations, manage data models, and ensure data quality within modern data warehouses. Dbt Developers collaborate closely with data engineers, analysts, and business users to create efficient, maintainable data workflows. Their work enables organizations to make informed decisions based on trustworthy and well-structured data.

How does a dbt developer typically collaborate with data engineers and analysts on a project?

DBT Developers frequently work alongside data engineers to ensure that data pipelines provide clean, reliable data to downstream users. They collaborate with analysts to understand data requirements, define business logic, and implement transformations that support analytics and reporting. Regular communication is essential for aligning on naming conventions, documenting models, and troubleshooting issues. This collaboration often takes place through code reviews, shared documentation, and agile ceremonies such as sprint planning or stand-ups.

What are the key skills and qualifications needed to thrive as a dbt developer, and why are they important?

To thrive as a DBT Developer, you need strong SQL expertise, data modeling skills, and experience with ETL processes, typically supported by a background in computer science or data engineering. Familiarity with DBT (Data Build Tool), version control systems like Git, and cloud data warehouses such as Snowflake or BigQuery is essential. Attention to detail, problem-solving abilities, and effective communication help you deliver scalable data solutions and collaborate with cross-functional teams. These skills are crucial for building reliable data pipelines, ensuring data quality, and enabling data-driven decision-making within organizations.

What is the difference between Dbt Developer vs Data Engineer?

AspectDbt DeveloperData Engineer
Primary FocusBuilding and maintaining data transformation pipelines using dbtDesigning, developing, and managing data infrastructure and pipelines
Skills & CertificationsSQL, dbt, data modeling, analytics skillsSQL, Python, ETL tools, cloud platforms, data architecture
Work EnvironmentAnalytics teams, data warehouses, BI projectsData platforms, cloud environments, big data systems

While both roles involve working with data, a Dbt Developer specializes in transforming data using dbt within analytics and BI projects, whereas a Data Engineer focuses on building and maintaining the broader data infrastructure and pipelines across various systems.

What cities near Georgetown, TX are hiring for Dbt Developer jobs?

Cities near Georgetown, TX with the most Dbt Developer job openings:

Infographic showing various Dbt Developer job openings in Georgetown, TX as of August 2026, with employment types broken down into 79% Full Time, 3% Part Time, and 18% Contract. Highlights an 81% Physical, 4% Hybrid, and 15% Remote job distribution, with an average salary of $102,115 per year, or $49.1 per hour.

Staff Product Manager, Developer Experience

Austin, TX • On-site

Fivetran
Software Development • 1 - 5K employees

Full-time

Posted 12 days ago


Job description

About Us

Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data. Together, we're delivering the data infrastructure layer that helps organizations move, transform, and trust their data - from the moment data moves, through every transformation, to the context teams and AI systems rely on. 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, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions. As we bring our teams and technology together, we're building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It's an exciting time to join us: we're creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact. During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites.

The way data practitioners write, debug, and ship dbt code is changing fast - and you'll be the person shaping what that experience looks like at the frontier of AI-assisted development.

As the Product Manager for Developer Experience, you will own the end-to-end developer workflow in dbt Cloud: the Studio IDE, Developer Agent (our AI coding assistant), the Cloud CLI, and the dbt VS Code Extension. Together, these surfaces are the primary daily touchpoint for tens of thousands of data practitioners worldwide - from seasoned analytics engineers writing complex SQL to newer practitioners who rely on AI to help them move faster and with more confidence.

This role sits at the intersection of developer tooling and leading-edge AI. You will work in close partnership with the Fusion team - the engine powering dbt's next-generation compilation, intelligence, and platform capabilities - to ensure that our developer surfaces fully leverage Fusion's capabilities and that developer needs are represented in the Fusion roadmap. The tight feedback loop between Developer Experience and Fusion is core to how dbt Cloud will evolve, and you'll be a key architect of that relationship.

This is a role for someone who has thought deeply about what makes IDEs and developer tools great, and who is excited to reimagine those workflows in an era where AI can lower the floor for new practitioners while raising the ceiling for experts.

This is a full-time position based out of our Austin, TX office. Our hybrid work model offers a blend of remote flexibility and in-person collaboration, including two days in the office each week to connect and build as a team.

In This Role, You Will

  • Own the developer experience roadmap across Studio IDE, Developer Agent, Cloud CLI, and the VS Code Extension - from near-term iteration to long-term vision.
  • Partner deeply with the Fusion team to align on capabilities, surface Fusion-powered intelligence (SQL comprehension, compute, context) through developer-facing UX, and co-define the boundary between platform and product.
  • Lead AI-native product development for Developer Agent - defining what a best-in-class AI coding assistant looks like for the full spectrum of dbt users, from expert analytics engineers to practitioners who are newer to code. This includes agentic workflows, context-aware suggestions, natural language interactions, and guided development experiences that meet users where they are.
  • Drive IDE and tooling strategy informed by a deep understanding of modern development environments - think about what VS Code, Cursor, and other leading IDEs get right, and translate those instincts to the dbt Cloud context.
  • Define and execute cross-functional collaboration with engineering, design, and GTM teams to ship high-quality developer experiences on a predictable cadence.
  • Build tight feedback loops with the dbt community and enterprise customers to continuously improve developer tools, with particular attention to power users and technical practitioners.
  • Conduct market and user research to understand the competitive landscape for developer tooling and AI-assisted development, and bring sharp external perspective into the roadmap.
  • Align developer experience investments to broader company goals, product-led growth metrics, and the Fusion platform strategy.

What Success Looks Like

  • Developer satisfaction and engagement metrics (activation, session depth, feature adoption) trending up across Studio, Canvas, CLI, and Developer Agent.
  • Developer Agent is a differentiated, well-regarded AI coding experience for data practitioners - not just a feature, but a product.
  • The Studio IDE and Canvas deliver a cohesive, fast, and intelligent development workflow powered by Fusion capabilities.
  • Strong, trust-based execution partnership with the Fusion team: shared roadmap visibility, clear API contracts, and coordinated shipping.
  • The Cloud CLI is a first-class product that developers actively choose, not a fallback.

You're a Good Fit If You Have

  • 5+ years of product management experience, with meaningful time spent on developer tools, IDEs, or technical platforms.
  • Direct experience managing IDE or developer environment products - you have an informed point of view on what makes development tools excellent and where modern IDEs fall short.
  • Demonstrated engagement with AI-powered development tools - you've used, studied, and formed strong opinions about AI coding assistants (Copilot, Cursor, Devin, etc.) and how they change the development experience.
  • A strong technical foundation that allows you to work fluently with engineering partners, reason about system architecture, and contribute meaningfully to technical decisions.
  • Experience conducting user research and translating developer feedback into prioritized, scoped product work.
  • Excellent written and verbal communication - you can write a crisp spec, give a compelling demo, and synthesize complex tradeoffs for diverse audiences.
  • Comfort working asynchronously as part of a distributed, remote team.

You'll Have an Edge If You Have

  • Hands-on experience with dbt or similar SQL-first transformation frameworks.
  • Prior experience building or shipping AI agent features (agentic UX, multi-step LLM workflows, context management).
  • Familiarity with LSP (Language Server Protocol), tree-sitter, or other IDE infrastructure primitives.
  • Experience with CLI tooling and developer workflow automation.
  • Background in open source software development or strong engagement with developer communities.
  • Knowledge of modern data warehouses (Snowflake, BigQuery, Databricks, Redshift, etc.) and the analytics engineering ecosystem.

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