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Analytics Engineer Remote Dbt Jobs in Washington, DC

TestPros is seeking a Senior Artificial Intelligence (AI) System Test Engineer with an analytical ... Remote, with occasional travel to customer sites or TestPros labs in Sterling, VA This role ...

Senior AI Test Engineer (Remote)

Sterling, VA ยท On-site +1

$50 - $80/hr

TestPros is seeking a Senior Artificial Intelligence (AI) System Test Engineer with an analytical ... Remote, with occasional travel to customer sites or TestPros labs in Sterling, VA This role ...

GPU Programmer - Remote

Washington, DC ยท Remote

$60 - $85/hr

GPU Programmer - Remote Job Type: Contractor Location: Remote Job Overview We are seeking ... Analyze performance bottlenecks and implement optimization strategies. Required Qualifications

Site Reliability Engineer (SRE)

Mclean, VA ยท Remote

$58.25 - $77.50/hr

Site Reliability Engineer (SRE) Remote No sponsorship available. Must be able to obtain a Public ... Support incident management activities, including troubleshooting, root-cause analysis, mitigation ...

Site Reliability Engineer (SRE)

Mclean, VA ยท Remote

$58.25 - $77.50/hr

Site Reliability Engineer (SRE) Remote No sponsorship available. Must be able to obtain a Public ... Support incident management activities, including troubleshooting, root-cause analysis, mitigation ...

Site Reliability Engineer (SRE)

Mclean, VA ยท Remote

$58.25 - $77.50/hr

Site Reliability Engineer (SRE) Remote No sponsorship available. Must be able to obtain a Public ... Support incident management activities, including troubleshooting, root-cause analysis, mitigation ...

Site Reliability Engineer (SRE)

Mclean, VA ยท Remote

$58.25 - $77.50/hr

Site Reliability Engineer (SRE) Remote No sponsorship available. Must be able to obtain a Public ... Support incident management activities, including troubleshooting, root-cause analysis, mitigation ...

Showing results 41-60

Analytics Engineer Remote Dbt information

See Washington, DC salary details

$40.8K

$109.8K

$168.2K

How much do analytics engineer remote dbt jobs pay per year?

As of Sep 4, 2026, the average yearly pay for analytics engineer remote dbt in Washington, DC is $109,827.00, according to ZipRecruiter salary data. Most workers in this role earn between $99,700.00 and $124,600.00 per year, depending on experience, location, and employer.

What is an analytics engineer?

An Analytics Engineer is a professional who bridges the gap between data engineering and data analysis by building robust and scalable data models, often using tools like dbt (data build tool). In a remote setting, they are responsible for transforming raw data into well-structured datasets that analysts and business users can trust, collaborating with teams via digital communication tools. Their work includes writing SQL code, maintaining data pipelines, documenting data models, and ensuring data quality and consistency. Using dbt, Analytics Engineers automate and manage data transformations, making it easier for organizations to analyze their data efficiently.

How does an analytics engineer working remotely with dbt typically collaborate with data analysts and other stakeholders?

Remote Analytics Engineers utilizing dbt often collaborate closely with data analysts, data scientists, and business stakeholders through virtual meetings, shared documentation, and version-controlled code repositories. They translate business requirements into data models, ensure data quality, and maintain data transformation pipelines. Regular syncs and agile ceremonies, like sprint planning and retrospectives, help keep communication clear and priorities aligned, while tools like Slack, Jira, and GitHub streamline collaboration across distributed teams.

What are the key skills and qualifications needed to thrive as a remote analytics engineer specializing in dbt?

To excel as a Remote Analytics Engineer focusing on dbt, you need strong SQL skills, data modeling expertise, and a background in analytics or computer science. Proficiency in dbt (data build tool), cloud data warehouses like Snowflake or BigQuery, and experience with version control systems such as Git are typically required. Outstanding problem-solving, communication, and collaboration skills make candidates stand out in remote and cross-functional environments. These competencies ensure efficient data pipeline development, reliable analytics solutions, and effective teamwork, which are crucial for delivering high-quality insights remotely.

What is the difference between Analytics Engineer Remote Dbt vs Data Engineer?

AspectAnalytics Engineer Remote DbtData Engineer
CredentialsSQL, Python, cloud platforms, Dbt certificationsSQL, Python, cloud platforms, data architecture certifications
Work EnvironmentRemote, collaborative with data teams, focus on analytics and data modelingOn-site or remote, infrastructure and pipeline development, focus on data systems
Industry UsageTech, finance, e-commerce, marketingTech, finance, healthcare, telecom

Analytics Engineer Remote Dbt professionals focus on building and maintaining data models using tools like Dbt, primarily supporting analytics and business insights. Data Engineers develop and manage data pipelines and infrastructure, often working on larger data systems. While both roles require SQL and cloud experience, Analytics Engineers emphasize data modeling and analytics, whereas Data Engineers focus on data architecture and pipeline development.

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

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

Infographic showing various Analytics Engineer Remote Dbt job openings in Washington, DC as of June 2026, with employment types broken down into 2% Locum Tenens, 4% As Needed, 35% Full Time, 31% Part Time, 8% Temporary, and 20% Contract. Highlights an 66% Physical, 2% Hybrid, and 32% Remote job distribution, with an average salary of $109,827 per year, or $52.8 per hour.

Senior AI Test Engineer (Remote)

TestPros

Sterling, VA โ€ข Remote

Part-time

Posted 24 days ago


Job description

TestPros delivers innovative independent IT assessment solutions to critical challenges facing the nation and the world.  We support the U.S. Federal/State/Local Government and Commercial clients within the continental USA. TestPros is dedicated to making lives better, safer and more secure.
TestPros is seeking a Senior Artificial Intelligence (AI) System Test Engineer with an analytical, customer-focused mindset and experience with the OWASP AI Testing Guide and other guidelines from NIST, ISO, and IEEE.
Start: Future projects in late 2026 or 2027 (not an immediate job opening) 
Type: Part-time consulting
Overview
Focus: Software test end evaluation
Regulatory Basis: OWASP AI Testing Guide, NIST AI Risk Management Framework (AI RMF), NIST Cybersecurity Framework (CSF) Cyber AI Profile, AI Bills of Materials (AI-BOMs), NSA AI Security Guidelines.
Location: Remote, with occasional travel to customer sites or TestPros labs in Sterling, VA
This role evaluates AI systems and software for alignment with the intended functions and features, plus additional assessment focused on AI-specific validation, including model robustness, data integrity, adversarial defense, performance, usability, reliability, security, maintainability, safety, and other aspects of overall quality.
.
Key Responsibilities:
Develop and execute test plans and evaluate software for compliance with the OWASP AI Testing Guide and other guidance, create defect and remediation records, capture test evidence and document defects with clear reproduction steps and severity ratings, report results to senior management and stakeholders.
Required Skills.

  • Bachelor's degree in computer science, engineering or a related field.
  • 10+ years of experience in Software/System Testing and Quality Engineering (QE), including enterprise-scale transformation programs.
  • Solid understanding of and experience with the OWASP AI Testing Guide, and the NIST AI Risk Management Framework (RMF).
  • 4+ years hands-on experience defining the testing strategy for large scale programs and ensuring requirements traceability throughout the system development lifecycle. Experience should include leading the testing efforts, including experience with all phases of testing: system integration, user acceptance, and performance testing.
  • A deep understanding of testing planning and associated delivery challenges.
  • A strong understanding of the various approaches used in testing techniques - white-box, black-box, load testing, coverage testing and regression testing.
  • Proven experience in defining and executing QE transformation strategy.
  • Hands-on expertise in Agentic AI / GenAI frameworks (e.g., LangChain, AutoGen, CrewAI, Cursor, etc.).
  • Experience working in Cloud, Web and Mobile Testing platforms - Saucelabs, Browerstack are preferred.
  • Hands-on experience with machine learning models.
  • Experience in Python NLTK or similar natural language processing technology.
  • Practical experience implementing AI-driven QE solutions such as:
  • Autonomous test generation
  • Self-healing automation
  • Defect prediction and intelligent triaging
  • Expertise in test automation tools (Selenium, Playwright, Cypress, etc.).
  • Strong experience with CI/CD pipelines and DevOps integration (GitHub).
  • Solid understanding of API, microservices, and cloud-native architectures.
  • Experience evaluating or testing Artificial Intelligence (AI) Large Language Model (LLM)-based application features (e.g., chatbots, copilots, RAG-based systems), including prompt-response validation and hallucination/edge-case testing.
  • Exposure to AI-assisted defect triage or root-cause analysis tools that reduce manual investigation time.
  • Experience with cloud platforms (AWS, Azure, GCP) in QE/AI context.
  • Exposure to self-healing test automation frameworks (AI-driven locator repair, visual AI testing).
  • Understanding of responsible AI/testing governance principles (bias detection, explainability, model validation) as applied to QE.
  • Experience contributing to or influencing AI-adoption roadmaps within a testing/QE organization.
  • Experience implementing testing best practices specific to the test planning and execution processes and gaining buy-in for changes from executives.
Preferred Skills
  • Experience with test automation tools, and AI assisted test tools
  • Familiarity with JIRA project/test management system
  • Knowledge of other IT compliance such as WCAG/Accessibility, IT Security, IT Privacy
  • Professional certifications in the software testing discipline

Work Environment: Hands-on testing role. Remote-friendly with occasional on-site or hybrid work as needed.
Rate: $50-80/hr. 1099 or Corp. To Corp.). This range represents a good-faith estimate and is not a guarantee; final compensation is determined by factors such as experience, qualifications, and government contract labor rate requirements and may fall outside the stated range. 
Equal Opportunity Employer
TestPros is an equal-opportunity employer and does not discriminate in employment based on race, color, religion, sex (including pregnancy and gender identity), national origin, political affiliation, sexual orientation, marital status, disability, genetic information, age, membership in an employee organization, retaliation, parental status, military service, or any other non-merit factor.
Offer Considerations
TestPros considers several factors when extending an offer, including but not limited to, Federal Government contract labor categories and contract wage rates, relevant prior work experience, specific skills and competencies, geographic location, education, and certifications.
Federal Compliance
As a federal contractor, TestPros is subject to all federal and state mandates and/or other customer requirements.

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