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Dbt Data Engineer Jobs in Virginia (NOW HIRING)

Data Engineer

Mclean, VA ยท On-site

$115K - $139K/yr

Data Engineer Location: Mclean, VA Duration: Long term contract Note: Looking for Ex-Capital One ... Experience with Airflow, DBT, or similar orchestration tools. * Strong understanding of CI/CD ...

Senior AI Data Engineer

Herndon, VA ยท On-site

$165K - $180K/yr

Familiarity with open-source data quality and analytics engineering tools such as dbt (data build tool), Great Expectations, or Sweetviz. * Experience with open-source containerization (Docker) and ...

Data Engineer

Richmond, VA ยท On-site +1

$100K - $120K/yr

The Senior Data Engineer drives and implements data engineering best practices, ensures high ... Hands-on experience with enterprise ETL/ELT platforms (e.g., Talend, dbt, Informatica). * Deep ...

New

Data Engineer

Richmond, VA ยท On-site

$100K - $120K/yr

The Senior Data Engineer drives and implements data engineering best practices, ensures high ... Hands-on experience with enterprise ETL/ELT platforms (e.g., Talend, dbt, Informatica). * Deep ...

New

Experience with ETL tools, such as dbt and Airflow * Experience with NoSQL and graph databases, and DevOps tools and automation practices * Experience designing and building data warehouses

Senior Data Engineer

Herndon, VA ยท Hybrid

$150K - $175K/yr

The Data Engineer will be responsible for designing, building, and optimizing robust data pipelines ... Experience with dbt and Apache Spark * Familiarity with Great Expectations, data contracts, and ...

Senior Data Engineer

Herndon, VA ยท On-site

$150K - $175K/yr

The Data Engineer will be responsible for designing, building, and optimizing robust data pipelines ... Experience with dbt and Apache Spark * Familiarity with Great Expectations, data contracts, and ...

Senior Data Engineer

Herndon, VA ยท Hybrid

$150K - $175K/yr

The Data Engineer will be responsible for designing, building, and optimizing robust data pipelines ... Experience with dbt and Apache Spark * Familiarity with Great Expectations, data contracts, and ...

Lead Consultant Data Engineer (DHS)

Arlington, VA ยท On-site

$131K - $158K/yr

Overview Lead Data Engineers at Excella play a key role in designing and building modern data ... Strong proficiency in SQL, Python, and orchestration tools like Airflow and dbt. * 2+ years of ...

Senior Data Engineer

Mclean, VA ยท 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 ...

Data Engineer - Senior

Herndon, VA ยท 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.

Staff Data Engineer

Arlington, VA ยท 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 ...

Senior Data Engineer

Herndon, VA ยท On-site +1

$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 ...

Staff Data Engineer

Arlington, VA ยท On-site

$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 ...

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Showing results 1-20

Dbt Data Engineer information

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.

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 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.

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 Virginia are hiring for Dbt Data Engineer jobs? Cities in Virginia with the most Dbt Data Engineer job openings:
Infographic showing various Dbt Data Engineer job openings in Virginia as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Data Engineer

IT America Inc

Mclean, VA โ€ข On-site

$115K - $139K/yr

Contractor

Re-posted 16 days ago


Job description

Position: Data Engineer

Location: Mclean, VA

Duration: Long term contract
Note: Looking for Ex-Capital One Employee / Contractor

About the Role:

We are seeking an experienced Data Engineer to join our team supporting Capital One. The ideal candidate will have a strong background in building scalable data pipelines, modern cloud data platforms, and working with large-scale financial data. This role involves working closely with Capital One’s data, analytics, and technology teams to design, implement, and optimize data solutions that enable advanced analytics and business insights.

Key Responsibilities:

  • Design, develop, and maintain robust, scalable, and secure data pipelines for Capital One applications.
  • Work with structured and unstructured data across cloud and on-premises environments.
  • Implement data ingestion, transformation, and integration processes using modern ETL/ELT frameworks.
  • Collaborate with data scientists, analysts, and product teams to enable data-driven decision-making.
  • Ensure data quality, governance, and compliance with Capital One and regulatory standards.
  • Optimize performance of large-scale data pipelines and storage solutions.
  • Work in Agile teams, following CI/CD and DevOps best practices.

Required Skills & Experience:

  • Strong experience in Data Engineering with hands-on development of ETL/ELT workflows.
  • Expertise in Python, SQL, and Spark (PySpark/Scala).
  • Proficiency in AWS Cloud Services (S3, Redshift, EMR, Glue, Lambda, etc.).
  • Experience with Snowflake or other cloud-based data warehouses.
  • Knowledge of data modeling, data lakes, and data warehouse design.
  • Experience with Airflow, DBT, or similar orchestration tools.
  • Strong understanding of CI/CD pipelines, Git, and DevOps practices.
  • Prior exposure to financial services, banking, or credit domain is highly desirable.

Nice-to-Have Skills:

  • Experience with Capital One-specific data platforms and tooling.
  • Exposure to real-time streaming technologies (Kafka, Kinesis).
  • Familiarity with machine learning pipelines.
  • Strong problem-solving and communication skills.

Education:

  • Bachelor’s or Master’s degree in Computer Science, Information Systems, Data Engineering, or related field.