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Dbt Data Engineer Jobs in Washington (NOW HIRING)

Exposure to dbt, Looker, or semantic modeling frameworks is a plus Required Experience * 7+ years of experience in data engineering or cloud data platform development * Proven experience delivering ...

Xometry is looking for a Staff Data Engineer to join our Data Platform team. This is a senior ... modern tooling (dbt, Airbyte, Airflow, or similar) * Demonstrated experience planning and ...

Xometry is looking for a Staff Data Engineer to join our Data Platform team. This is a senior ... modern tooling (dbt, Airbyte, Airflow, or similar) * Demonstrated experience planning and ...

Senior Data Engineer

Mclean, VA · On-site

$107K - $145K/yr

About the role As a Senior Data Engineer at Range, you'll be the technical owner of Range's data ... Production experience with a modern data toolset including dbt, a cloud warehouse or lakehouse, and ...

Staff Data Engineer

Arlington, VA · On-site +1

$145K - $175K/yr

The Forterra Data Team is seeking an experienced Staff Data Engineer to support the implementation ... dbt, Airflow, Dagster, Prefect). * Experience with cloud infrastructure. * Understanding of ...

Staff Data Engineer

Arlington, VA · On-site

$145 - $175/hr

The Forterra Data Team is seeking an experienced Staff Data Engineer to support the implementation ... dbt, Airflow, Dagster, Prefect). * Experience with cloud infrastructure. * Understanding of ...

Staff Data Engineer

Arlington, VA · On-site

$145 - $175/hr

About the role The Forterra Data Team is seeking an experienced Staff Data Engineer to support the ... dbt, Airflow, Dagster, Prefect). * Experience with cloud infrastructure. * Understanding of ...

Data Engineer - Senior

Herndon, VA · On-site +1

$110K - $170K/yr

Terraform, GitHub Actions or Azure DevOps, Kafka/MSK, dbt, Great Expectations, Splunk/Datadog, Collibra/Alation, AWS Lake Formation, and experience with data mesh or modern data product architectures.

Data Engineer - Senior

Hyattsville, MD · On-site +1

$110K - $170K/yr

Terraform, GitHub Actions or Azure DevOps, Kafka/MSK, dbt, Great Expectations, Splunk/Datadog, Collibra/Alation, AWS Lake Formation, and experience with data mesh or modern data product architectures.

Data Engineer - Senior

Hyattsville, MD · Remote

$110K - $170K/yr

Terraform, GitHub Actions or Azure DevOps, Kafka/MSK, dbt, Great Expectations, Splunk/Datadog, Collibra/Alation, AWS Lake Formation, and experience with data mesh or modern data product architectures.

Data Engineer - Senior

Herndon, VA · Remote

$110K - $170K/yr

Terraform, GitHub Actions or Azure DevOps, Kafka/MSK, dbt, Great Expectations, Splunk/Datadog, Collibra/Alation, AWS Lake Formation, and experience with data mesh or modern data product architectures.

Data Engineer

Washington, DC · On-site +1

$129K - $155K/yr

Support AI/ML teams with optimizing feature engineering code. * Expertise in Spark/Python ... or DBT. * Research existing data in the data lake to determine best sources for data. * Create ...

Senior Data Engineer

Bethesda, MD · On-site

$113K - $154K/yr

Pipeline Engineering: Develop and maintain scalable ELT pipelines using reusable ingestion ... Familiarity with data quality tools such as Great Expectations or dbt testing frameworks.

Senior Data Engineer

Herndon, VA · Remote

$150K - $180K/yr

Experience with dbt and modern analytics engineering workflows. * Experience with streaming technologies and event-driven architectures. * Experience supporting Business Intelligence, Data Science ...

Be Seen First

As a Healthcare IT Data Engineer, you will play a pivotal role in designing, developing, and ... They should also have experience with products like DBT and understand Directed Acyclic Graphs ...

Senior Data Engineer

Mclean, VA · Hybrid

$107K - $145K/yr

Job Family: Data Engineering & Architecture Consulting Travel Required: Up to 10% Clearance ... Handson expertise with modern dataengineering toolchains (e.g., dbt, Apache Airflow, Databricks, or ...

Showing results 41-60

Dbt Data Engineer information

What is a dbt data engineer?

Dbt Data Engineers are professionals who specialize in using dbt (data build tool) to transform, test, and document data within modern data warehouses. They build and maintain data pipelines by writing SQL-based transformation scripts and ensuring data quality through automated testing. Dbt Data Engineers collaborate closely with analytics teams to create reliable, well-documented datasets that support business intelligence and analytics initiatives.

How does a dbt data engineer typically collaborate with data analysts and other stakeholders?

As a Dbt Data Engineer, you'll work closely with data analysts, business intelligence teams, and sometimes product managers to translate business requirements into reliable, well-structured data models. Collaboration often involves reviewing transformation logic, ensuring data quality, and providing documentation or training on Dbt models. You may also participate in regular stand-ups or data modeling sessions to align on priorities and address data challenges collaboratively. Effective communication skills are key, as you'll bridge the gap between raw data and actionable insights.

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

To thrive as a Dbt Data Engineer, you need strong SQL skills, experience in data modeling, and a solid understanding of ELT/ETL pipelines, often supported by a degree in computer science or a related field. Familiarity with dbt (data build tool), version control systems like Git, and cloud data platforms such as Snowflake or BigQuery is typically required. Attention to detail, problem-solving abilities, and effective collaboration are essential soft skills for this role. These skills ensure robust, scalable, and maintainable data transformations that drive reliable analytics and business insights.

What is the difference between Dbt Data Engineer vs Data Analyst?

AspectDbt Data EngineerData Analyst
Primary FocusBuilding and maintaining data transformation pipelines using dbtAnalyzing data to generate reports and insights
Skills & ToolsSQL, dbt, ETL pipelines, cloud platformsSQL, Excel, BI tools, data visualization
Work EnvironmentData engineering teams, cloud data platformsBusiness units, reporting teams
CertificationsSQL, cloud certifications, dbt trainingData analysis, visualization certifications

While both roles work with data and SQL, Dbt Data Engineers focus on developing scalable data transformation pipelines using dbt, whereas Data Analysts primarily analyze data to produce reports and insights. The roles complement each other within data teams but differ in technical scope and responsibilities.

What cities in Washington are hiring for Dbt Data Engineer jobs?

Cities in Washington with the most Dbt Data Engineer job openings:

Infographic showing various Dbt Data Engineer job openings in Washington as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.

Lead Data Engineer

Blend360

Columbia, MD • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 29 days ago


Job description

Company Description

BLEND360 is an acclaimed, forward-thinking Data, Digital Marketing, & AI Solutions Company, dedicated to fueling remarkable outcomes for our Fortune 500 clients. Our trajectory is one of continuous expansion, emerging at the crossroads of cutting-edge analytics, data proficiency, technology, and digital marketing excellence.

Job Description

We are seeking a Lead Data Engineer to support a large-scale healthcare data platform initiative focused on modernizing data ingestion, automation, and semantic layer capabilities within Google Cloud Platform (GCP). This role will play a critical part in building scalable, reliable, and business-ready data solutions that enable enterprise analytics and reporting across the organization. 

The ideal candidate brings strong hands-on engineering expertise, deep knowledge of cloud-native data platforms, and experience leading technical implementation efforts in complex enterprise healthcare environments. 

What You’ll Do 

  • Design, build, and optimize scalable data pipelines supporting enterprise healthcare analytics and reporting use cases  
  • Lead automation efforts across ingestion, transformation, orchestration, and operational monitoring workflows  
  • Develop and maintain ingestion frameworks for structured and semi-structured healthcare data sources  
  • Build and expand semantic data layers within GCP and BigQuery to support consistent, trusted business reporting and analytics consumption  
  • Design scalable ELT/ETL workflows leveraging modern cloud-native architecture patterns  
  • Partner closely with architects, analytics teams, and business stakeholders to translate data requirements into scalable technical solutions  
  • Optimize BigQuery performance, partitioning, and cost management strategies  
  • Implement engineering best practices for testing, observability, reliability, and deployment automation  
  • Support data governance, data quality, and metadata management initiatives across the platform  
  • Mentor junior engineers and provide technical leadership across delivery teams  
Qualifications

Required Skills 

  • Strong expertise in Google Cloud Platform (GCP), particularly:  
    • BigQuery
    • Cloud Storage
    • Cloud Composer / orchestration tooling
    • Dataflow or modern ingestion frameworks  
  • Experience designing and building scalable data ingestion and pipeline automation frameworks  
  • Strong understanding of semantic layer development and dimensional modeling concepts  
  • Advanced SQL and Python development skills  
  • Experience with ETL/ELT pipeline design and orchestration  
  • Familiarity with CI/CD, infrastructure automation, and cloud engineering best practices  
  • Strong understanding of data quality, observability, and operational reliability principles 
  • Experieng with AI driven workflows, and orchestration design patterns. 

Preferred Experience 

  • Experience working with healthcare data ecosystems and regulated enterprise environments  
  • Familiarity with healthcare data standards or payer/provider analytics platforms  
  • Experience supporting enterprise BI and analytics initiatives  
  • Exposure to dbt, Looker, or semantic modeling frameworks is a plus  

Required Experience 

  • 7+ years of experience in data engineering or cloud data platform development  
  • Proven experience delivering enterprise-scale cloud data solutions in GCP environments  
  • Experience leading technical workstreams or mentoring engineering teams  
  • Consulting or client-facing experience strongly preferred  

What Makes You Successfu

  • You are passionate about building scalable and maintainable cloud-native data solutions  
  • You balance hands-on engineering execution with technical leadership and collaboration  
  • You communicate effectively with both technical and business stakeholders  
  • You thrive in fast-paced, delivery-focused environments  
  • You bring strong ownership, curiosity, and continuous improvement mindset to your work  

Additional Information

The starting pay range for this role is $125,000 - $160,000. Actual compensation within the range will be dependent on several factors including but not limited to relevant experience, skills, certifications, training, and location. It is not typical for an individual to be hired at or near the top of the range and determining factors for compensation are considered for each individual circumstance. BLEND360 also offers a competitive benefits program to meet the health and financial well-being of our team and their families. You can look forward to a range of benefits including medical, dental, vision, 401K, PTO, paid holidays, commuter benefits, spending accounts, life insurance, disability coverage, and EAPs.