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Dbt Developer Jobs in Washington, DC (NOW HIRING)

Lead Software Developer

Baltimore, MD

$110K - $138K/yr

Deep functional experience with EKS, Aurora, MSK, DBT, Airflow, and Flink is a strong plus. \n * In ... Familiarity with a variety of programming styles (e.g., OO, functional) and in\-depth knowledge of ...

Data Engineer I

Washington, DC · On-site +1

$85K/yr

About the Role We're hiring an entry-level Data Engineer to join our Data Engineering team. You'll ... Build, test, and document dbt models (staging, intermediate, marts) aligned to Kimball dimensional ...

Senior Data Engineer (AWS & Snowflake)

Bethesda, MD · On-site

$122K - $146K/yr

... DBT). * Good understanding of data governance principles and implementation experience * Familiarity with DevOps practices and CI/CD pipelines for data engineering. * Excellent problem-solving ...

Data Engineer (DoD Secret | Remote)

Washington, DC · Remote

$129K - $155K/yr

Data Engineer (DoD Secret | Remote) Location: Remote (U.S. Based) Clearance: Active DoD Secret ... Build and maintain end-to-end Ingest → Transform → Expose pipelines using Airflow, Spark, dbt ...

SQL and dbt development: Write and maintain SQL and dbt models that transform data in our warehouse ... Pipeline Engineering: Make additions to GCP pipelines that load data into our BigQuery warehouse ...

Data Engineer (Cycle)

Washington, DC · On-site

$85K - $100K/yr

SQL and dbt development: Write and maintain SQL and dbt models that transform data in our warehouse ... Pipeline Engineering: Make additions to GCP pipelines that load data into our BigQuery warehouse ...

Data Engineer (Cycle)

Washington, DC · Remote

$85K - $100K/yr

SQL and dbt development: Write and maintain SQL and dbt models that transform data in our warehouse ... Pipeline Engineering: Make additions to GCP pipelines that load data into our BigQuery warehouse ...

Design, develop, and maintain robust data models (using dbt) that serve as the foundation for all ... Partner with Data Engineers to optimize ingestion and ensure the reliability of our data warehouse ...

SQL and dbt development: Write and maintain SQL and dbt models that transform data in our warehouse ... Pipeline Engineering: Make additions to GCP pipelines that load data into our BigQuery warehouse ...

Sr. Python Developer

Mclean, VA · On-site

$124K - $167K/yr

Looking for a proactive, detail-oriented Senior Python Developer to support enterprise-wide third ... dbt, or similar. * Experience integrating and ingesting data from multiple sources and designing ...

Data Engineer

Suitland, MD

$123K - $148K/yr

Data Engineer We are looking for a skilled and passionate Data Engineer to join our team. You will ... Airflow, dbt, Prefect, or Dagster. * Cloud Platform Familiarity : Work comfortably in cloud ...

Data Engineer

Washington, DC · On-site

$129K - $155K/yr

The Data Engineer will lead the design and implementation of scalable data workflows, architect ... Airflow, dbt, Spark, or equivalent). • Design data models and storage systems optimized for ...

Data Engineer

Suitland, MD · On-site

$123K - $148K/yr

They are seeking a skilled Data Engineer to design, build, and maintain data infrastructure ... Airflow, dbt, Prefect, or Dagster. • Work comfortably in cloud environments, with a strong ...

Design, develop, and maintain robust data models (using dbt) that serve as the foundation for all ... Partner with Data Engineers to optimize ingestion and ensure the reliability of our data warehouse ...

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Dbt Developer information

See Washington, DC salary details

$19

$59

$92

How much do dbt developer jobs pay per hour?

As of Aug 3, 2026, the average hourly pay for dbt developer in Washington, DC is $59.82, according to ZipRecruiter salary data. Most workers in this role earn between $45.72 and $73.22 per hour, depending on experience, location, and employer.

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 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 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 popular job titles related to Dbt Developer jobs in Washington, DC? For Dbt Developer jobs in Washington, DC, the most frequently searched job titles are:
What job categories do people searching Dbt Developer jobs in Washington, DC look for? The top searched job categories for Dbt Developer jobs in Washington, DC are:
Infographic showing various Dbt Developer job openings in Washington, DC as of July 2026, with employment types broken down into 1% As Needed, 71% Full Time, 22% Part Time, 5% Contract, and 1% Nights. Highlights an 78% Physical, 3% Hybrid, and 19% Remote job distribution, with an average salary of $124,011 per year, or $59.6 per hour.

Snowflake developer with Google Cloud Platform and DBT

Tror

Arlington, VA • On-site

Other

This job post has expired today. Applications are no longer accepted.


Job description

Snowflake Developer (Google Cloud Platform + DBT)
Location: Arlington, VA (Onsite)
Job Type: Contract Role Overview

Previa Health is seeking a Snowflake Developer with strong experience in Snowflake, Google Cloud Platform (Google Cloud Platform), and DBT to design, develop, and optimize modern cloud data solutions. The ideal candidate will have hands-on experience building scalable data pipelines, transforming complex datasets, and supporting analytics platforms.

Required Skills
  • Strong hands-on experience with Snowflake Data Warehouse
  • Experience developing data transformation workflows using DBT
  • Strong experience with Google Cloud Platform data services (BigQuery, Cloud Storage, Dataflow, or related services)
  • Advanced SQL development skills
  • Experience building and optimizing ETL/ELT pipelines
  • Experience with data modeling, performance tuning, and query optimization
  • Understanding of cloud-based data architecture and best practices
  • Experience working with CI/CD processes and version control tools (Git)
Key Responsibilities
  • Design, develop, and maintain Snowflake data solutions
  • Build and optimize DBT models, transformations, and workflows
  • Develop scalable data pipelines using Google Cloud Platform services
  • Perform data analysis, validation, and troubleshooting
  • Optimize Snowflake performance, including queries, warehouses, and data models
  • Collaborate with data engineers, architects, and analytics teams
  • Ensure data quality, governance, and reliability across platforms
Preferred Qualifications
  • Experience working in Healthcare / Life Sciences domain
  • Knowledge of modern data engineering practices and cloud-native architectures
  • Experience with Python scripting is a plus.