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Dbt Data Engineer Jobs in Washington (NOW HIRING)

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 ... Hands-on experience with data pipeline orchestration tools (e.g., Apache Airflow, dbt, Prefect ...

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 ...

Data Engineer

Silver Spring, MD

$118K - $142K/yr

The Data Engineer will partner with other Data Engineers to evaluate and prototype new tools and ... Databricks , Apache Spark (PySpark) , Python , SQL (PostgreSQL) , and dbt for large-scale data ...

Data Engineer

Mclean, VA · 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 ...

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 ...

Senior AI Data Engineer

Herndon, VA · 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 We are looking for a skilled and passionate Data Engineer to join our team. You will ... Hands-on experience with data pipeline orchestration tools (e.g., Apache Airflow, dbt, Prefect ...

Data Engineer

Suitland, MD · On-site

$123K - $148K/yr

Data Engineer We are looking for a skilled and passionate Data Engineer to join our team. You will ... Hands-on experience with data pipeline orchestration tools (e.g., Apache Airflow, dbt, Prefect ...

Data Engineer

Washington, DC · On-site

$129K - $155K/yr

Required : • 3+ years of experience in data engineering or related fields • Strong proficiency in Python and SQL • Hands-on experience with tools such as Airflow, dbt, AWS EMR, Athena, and ...

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 ... Hands-on experience with data pipeline orchestration tools (e.g., Apache Airflow, dbt, Prefect ...

Senior AI Data Engineer

Herndon, VA · 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 ...

Senior AI Data Engineer

Herndon, VA · 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

Washington, DC · On-site

$129K - $155K/yr

Required : • 3+ years of experience in data engineering or related fields • Strong proficiency in Python and SQL • Hands-on experience with tools such as Airflow, dbt, AWS EMR, Athena, and ...

Snowflake Data Engineer

Washington, DC · On-site

$150K - $190K/yr

Develop and maintain transformation logic using dbt, ensuring modular, testable, and well ... Engineering * Build and support data pipelines orchestrated through Airflow * Develop and maintain ...

Data Engineer

Washington, DC · On-site

$129K - $155K/yr

You\'ll own our dbt transformation layer end-to-end -- modeling energy market data, customer ... You\'ll partner closely with engineering, operations, and leadership to deliver analytics that ...

Data Engineer

Washington, DC · Remote

$117K - $140K/yr

You'll own our dbt transformation layer end-to-end -- modeling energy market data, customer ... You'll partner closely with engineering, operations, and leadership to deliver analytics that ...

Data Engineer

Washington, DC · On-site

$129K - $155K/yr

Familiarity with modern data stack tools (e.g., dbt, Airflow, or similar orchestration tools) * Experience with data governance, cataloging, and lineage tools * Experience mentoring junior engineers ...

Data Engineer

Bethesda, MD · On-site

$122K - $147K/yr

Familiarity with modern data stack tools (e.g., dbt, Airflow, or similar orchestration tools) * Experience with data governance, cataloging, and lineage tools * Experience mentoring junior engineers ...

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 ...

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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.

$123K - $148K/yr

Full-time

Re-posted 8 days ago


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Job description

ob Description: Data Engineer

We are looking for a skilled and passionate Data Engineer to join our team. You will play a critical role in designing, building, and maintaining our data infrastructure to ensure seamless data flow, scalability, and reliability. You will work closely with data scientists, analysts, and other stakeholders to develop efficient data pipelines, manage large datasets, and integrate machine learning models into production environments.

Key Responsibilities:
  • Programming Fundamentals: Write clean, efficient, and scalable code to build and optimize data solutions using programming languages like Python.
  • Data Pipeline Development: Design, build, and orchestrate robust and reliable data workflows using tools such as Apache Airflow, dbt, Prefect, or Dagster.
  • Cloud Platform Familiarity: Work comfortably in cloud environments, with a strong preference for experience in AWS. Experience in GCP or Azure is also highly valued.
  • Database & Querying Skills: Extract, integrate, and ensure the quality of data from various sources using tools and technologies such as SQL, PostgreSQL, Snowflake, Amazon Redshift, or BigQuery.
  • Big Data Processing: Leverage frameworks like Apache Spark, Databricks, or Apache Kafka to process and manage large-scale data workflows with reliability and efficiency.
  • ML Integration / MLOps: Support the implementation, deployment, and scaling of machine learning models in production environments using tools like Amazon SageMaker, MLflow, or Kubeflow.
  • Monitoring & Troubleshooting: Monitor data pipeline health, troubleshoot issues, and ensure data consistency using tools such as Amazon CloudWatch, Datadog, or Great Expectations.
  • Collaboration & Documentation: Work closely with data scientists, analysts, and other stakeholders to understand data requirements, communicate solutions, and document processes using tools like Git, Jira, and Confluence.
Qualifications:
  • 2 years of experience as a Data Engineer or similar role.
  • Strong proficiency in Python or other programming languages relevant to data engineering.
  • Any additional experience with any of the following:
    • Hands-on experience with data pipeline orchestration tools (e.g., Apache Airflow, dbt, Prefect, Dagster).
    • Solid understanding of cloud platforms (AWS strongly preferred; GCP or Azure experience also considered).
    • Expertise in SQL and familiarity with relational and columnar databases (e.g., PostgreSQL, Snowflake, BigQuery).
    • Knowledge of big data processing frameworks (e.g., Apache Spark, Databricks, or Apache Kafka).
    • Familiarity with machine learning workflows and experience implementing MLOps tools (e.g., Amazon SageMaker, MLflow, or Kubeflow) in production environments.
    • Strong troubleshooting skills and experience monitoring data pipelines and system health using tools like Amazon CloudWatch, Datadog, or Great Expectations.
    • Excellent communication skills and a collaborative mindset, with a focus on documentation and best practices.
Preferred Skills:
  • Experience working with large-scale distributed systems.
  • Knowledge of data governance and security best practices.
  • Proven ability to work in cross-functional teams and contribute to problem-solving and innovation.
Clearance:
  • An active TS/SCI federal security clearance is required


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