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Dbt Data Engineer Jobs in Washington, DC (NOW HIRING)

Accenture Federal Services

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 ...

Accenture Federal Services

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 ...

IT America Inc

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 ...

Capital Technology Group

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 ...

Karsun Solutions, LLC

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 ...

Keystone

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 ...

RIT Solutions, Inc.

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 ...

Accenture Federal Services

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 ...

Accenture Federal Services

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 ...

RIT Solutions, Inc.

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 ...

Solomon Page

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 ...

Arbor

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 ...

America Votes

Data Engineer (Cycle)

Washington, DC · Remote

$85K - $100K/yr

Write and maintain SQL and dbt models that transform data in our warehouse, adding new models, refactoring existing code, writing tests, and improving documentation.Pipeline Engineering: Make ...

America Votes

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 ...

America Votes

Data Engineer (Cycle)

Washington, DC · On-site

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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All JobsDbt Data Engineer JobsDbt Data Engineer Jobs in Washington, DC

Dbt Data Engineer information

See Washington, DC salary details

$50.4K

$146.9K

$201K

How much do dbt data engineer jobs pay per year?

As of Aug 25, 2026, the average yearly pay for dbt data engineer in Washington, DC is $146,916.00, according to ZipRecruiter salary data. Most workers in this role earn between $129,700.00 and $155,700.00 per year, depending on experience, location, and employer.

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 are popular job titles related to Dbt Data Engineer jobs in Washington, DC?

For Dbt Data Engineer jobs in Washington, DC, the most frequently searched job titles are:

What job categories do people searching Dbt Data Engineer jobs in Washington, DC look for?

The top searched job categories for Dbt Data Engineer jobs in Washington, DC are:

Dbt Data Engineer jobs near you
Infographic showing various Dbt Data Engineer job openings in Washington, DC as of August 2026, with employment types broken down into 100% Full Time. Highlights an 33% In-person, 34% Hybrid, and 33% Remote job distribution, with an average salary of $146,916 per year, or $70.6 per hour.

Data Engineer (BigQuery / Cloud Data Platforms)

Washington, DC • On-site

Northramp LLC
IT Services • 11 - 50 employees
Learn more about Northramp LLCexternal

$129K - $155K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 6 days ago

Job description

Opportunity Overview
Northramp is seeking a Data Engineer to join the team supporting the client's Cloud program - a mission-critical effort to consolidate, modernize, and operate the client's enterprise cloud services across IaaS, PaaS, and SaaS environments under FedRAMP High authorization.
You will design and operate cloud-native data pipelines, warehousing, and integration layers that make the client's data accessible, reliable, and analytics-ready. The role centers on modern cloud data platforms - with BigQuery as the primary analytical data warehouse - supporting the client's enterprise reporting, AI/ML, and program management data needs.
This role is part of Northramp's integrated delivery model, where engineers and advisors work as one team to bring sound judgment, disciplined execution, and deep federal experience to high-stakes modernization programs.
Location & Work Arrangement
Hybrid, based in the Washington, DC metro area. On-site presence at designated client locations is expected on a cadence aligned to program needs. Remote work is supported around mission and security requirements. This role is not open to candidates outside the DC region.
The Ideal Candidate
You build data pipelines that run reliably in production - not just demos. You've designed schemas and ingestion pipelines against messy, real-world source systems, you understand data quality as an engineering discipline, and you can work comfortably within the access controls and compliance requirements of a federal environment.
Key Responsibilities
  • Design, build, and maintain scalable ELT/ETL data pipelines ingesting structured and semi-structured data from cloud services, APIs, databases, and file sources into BigQuery and other cloud data warehouses.
  • Develop and manage data models, schemas, and transformation logic using dbt (data build tool), SQL, and Python; enforce testing and documentation standards across the data layer.
  • Implement and operate pipeline orchestration using Apache Airflow (Cloud Composer), Prefect, or equivalent; monitor pipeline health, SLA adherence, and failure alerting.
  • Integrate data platforms with upstream source systems including cloud-native services (AWS RDS, Azure SQL, GCS/S3), operational databases, and third-party SaaS APIs.
  • Implement data access controls, column-level security, and encryption within BigQuery and related cloud storage services aligned to FedRAMP High and FISMA requirements.
  • Build and maintain data cataloging and lineage metadata practices to support data governance and auditability requirements.
  • Collaborate with Data Scientists and analysts to ensure data availability, schema stability, and performance of analytical workloads.
  • Develop and maintain infrastructure-as-code for data platform components using Terraform; participate in CI/CD pipeline integration for data assets.
  • Support data quality frameworks - profiling, anomaly detection, and SLA monitoring - across production data pipelines.
  • Contribute to ATO documentation and data security controls including data classification, retention policies, and audit logging.

Requirements
Required Qualifications
  • 3 to 6 years of progressive, hands-on experience in data engineering with a focus on cloud data platforms and pipeline development.
  • Bachelor's degree in Computer Science, Data Engineering, Information Systems, Mathematics, or a related field. Relevant experience may substitute.
  • Strong SQL skills and hands-on experience with BigQuery as an analytical data warehouse; familiarity with BigQuery optimization (partitioning, clustering, materialized views).
  • Proficiency in Python for data engineering tasks (ingestion, transformation, pipeline scripting).
  • Experience with dbt for data transformation and modeling in cloud warehouse environments.
  • Hands-on experience with pipeline orchestration tools: Apache Airflow, Cloud Composer, or equivalent.
  • Working knowledge of cloud storage and data services across at least one major cloud provider (GCS, S3, Azure Blob Storage, Cloud Spanner, Redshift, or equivalent).
  • Understanding of data modeling principles (dimensional modeling, data vault, or similar) and schema design for analytical workloads.
  • Familiarity with data governance concepts - cataloging, lineage, access controls, retention - and their application in regulated environments.
  • Knowledge of FedRAMP, FISMA, and NIST 800-53 data security requirements.
  • U.S. Citizenship and the ability to obtain and maintain a DHS suitability / Public Trust clearance.

Desired Qualifications
  • Google Cloud Professional Data Engineer certification.
  • AWS Certified Data Analytics Specialty or Azure Data Engineer Associate.
  • dbt certification.
  • Security+ or equivalent certification.
  • Experience with streaming data platforms (Pub/Sub, Kafka, Kinesis).
  • DHS, or other federal data engineering experience.
  • Active Public Trust or higher clearance.

Clearance
DHS suitability and a Public Trust background investigation are required for this role. Active Public Trust or higher clearance is preferred. Selected applicants will be subject to a security investigation and may need to meet eligibility requirements for access to controlled or classified information.
About Northramp
Northramp is a federal consulting firm that helps agencies modernize and operate mission-critical systems with sound judgment, disciplined execution, and deep federal experience. We specialize in high-stakes digital transformation in highly regulated environments where failure is not an option. Our integrated delivery model brings engineers and advisors together as one team, combining technical depth with an operator's mindset to move organizations from strategy to execution with confidence.
We hold high standards because our clients' missions demand it, and we support our people in meeting them. Northramp is where you are challenged, trusted, and supported - a place for people who take pride in their work, value clarity and follow-through, and want to make a meaningful impact through technology.
Equal Opportunity
Northramp is an Equal Opportunity Employer. We are committed to creating an inclusive environment for all employees and applicants. We do not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other characteristic protected by federal, state, or local law. Northramp participates in E-Verify.
Benefits
  • Health Care Plan (Medical, Dental & Vision)
  • Retirement Plan (401k, IRA)
  • Life Insurance (Basic, Voluntary & AD&D)
  • Paid Time Off (Vacation, Sick & Public Holidays)
  • Family Leave (Maternity, Paternity)
  • Short Term & Long Term Disability
  • Training & Development
  • Work From Home
  • Wellness Resources
  • Employee Bonus Programs

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