ZipRecruiter

Log In

2

Analytics Engineer Remote Dbt Jobs in Washington, DC

System One

Network Deployment Engineer

Reston, VA · Remote

Network Deployment Engineer Remote Must be available to travel to deploy network infrastructure at ... Perform root-cause analysis, identify, and perform corrective actions. * Interface with Local ...

System One

Network Deployment Engineer

Reston, VA · Remote

Network Deployment Engineer Remote Must be available to travel to deploy network infrastructure at ... Perform root-cause analysis, identify, and perform corrective actions. * Interface with Local ...

TestPros

Senior AI Test Engineer (Remote)

Sterling, VA · 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 ...

System One

Network Deployment Engineer

Reston, VA · Remote

Network Deployment Engineer Remote Must be available to travel to deploy network infrastructure at ... Perform root-cause analysis, identify, and perform corrective actions. * Interface with Local ...

previous pagenext page

Showing results 21-40

All JobsAnalytics Engineer Dbt JobsAnalytics Engineer Remote Dbt JobsAnalytics Engineer Remote Dbt Jobs in Washington, DC

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 Aug 25, 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 are popular job titles related to Analytics Engineer Remote Dbt jobs in Washington, DC?

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

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:

Analytics Engineer Remote Dbt jobs near you
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 Business Intelligence Engineer

Herndon, VA • Remote

Team Velocity
Internet and IT • 201 - 500 employees
Learn more about Team Velocityexternal

$140K - $170K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 10 days ago

Job description

We are seeking a Senior Business Intelligence Engineer to lead the design, development, and evolution of enterprise reporting and analytics solutions that drive strategic decision-making across the organization. This role combines deep technical expertise with strong business acumen to deliver scalable data models, executive dashboards, self-service analytics, and data storytelling. The ideal candidate will partner with cross-functional leaders, mentor team members, and help define the organization's BI strategy while ensuring data quality, governance, and best practices.

This is a full-time, salaried, remote position. Candidate must reside within the Continental U.S. Eastern or Central time zones highly preferred, but all are welcome to apply who can support 8:30AM-5:30PM (EST) hours.

Responsibilities

  • Lead the design, development, and optimization of enterprise dashboards, reports, and self-service analytics solutions.
  • Partner with executive leadership, product, sales, marketing, and operations teams to define KPIs and reporting strategies.
  • Architect scalable semantic models and reporting standards across the organization.
  • Develop executive, operational, and customer-facing analytics products.
  • Leverage Snowflake and modern cloud data platforms to transform and optimize large datasets for reporting.
  • Drive adoption of Microsoft Fabric, Power BI, Tableau, Looker, or similar BI technologies.
  • Collaborate with Data Engineering and Analytics Engineering teams to improve data pipelines and data quality.
  • Identify opportunities for automation and process improvements.
  • Establish data governance, metric definitions, and reporting best practices.
  • Mentor junior BI engineers and analysts while promoting engineering excellence.
  • Present findings and recommendations to senior leadership and business stakeholders

Qualifications

  • 7+ years of experience in business intelligence, analytics engineering, data analytics, or related disciplines.
  • Expert-level SQL skills and extensive experience with Snowflake or similar cloud data platforms.
  • Advanced experience with Power BI, Microsoft Fabric, Tableau, Looker, or equivalent BI platforms.
  • Strong understanding of dimensional modeling, semantic layers, KPI frameworks, and enterprise reporting architecture.
  • Experience working with large, complex datasets and optimizing query performance.
  • Ability to communicate technical concepts to executive and non-technical audiences.
  • Experience leading projects and influencing cross-functional teams.
  • Strong commitment to data quality, governance, and documentation.

Preferred Experience

  • Automotive industry experience with dealership, OEM, consumer, telematics, aftermarket, finance, or mobility data.
  • Experience with Python, dbt, analytics engineering workflows, and modern ELT architectures.
  • Knowledge of cloud ecosystems and data integration technologies.
  • Experience building customer-facing analytics products.
  • Experience mentoring teams in a remote-first environment.

COMPENSATION
Compensation commensurate on experience. Participation in company benefit offerings include medical, dental, vision, unlimited paid leave, 401(k) matching, wellness, and more. The expected salary range for this position is $140,000–$170,000 annually. The final offer will be based on several factors, including relevant experience, skills, and qualifications.

NEXT STEPS
If you meet the requirements, and are interested in applying for this role, please complete the online application, be sure to include a current resume and contact information. Local and remote candidates (living within Eastern or Central Time Zone) will be considered. No relocation assistance provided for this position. NO PHONE CALLS PLEASE.

About Team Velocity
Team Velocity is a full-service marketing agency serving the automotive industry, providing integrated marketing solutions to OEMs and dealerships nationwide. We leverage our proprietary Apollo® technology platform to predict consumer behavior, personalize marketing campaigns, and help dealerships drive more sales and service revenue.

Our team members are driven, creative, and collaborative, enjoying a unique culture where innovation and client success are paramount.

Join us in revolutionizing automotive marketing and technology through powerful, data-driven insights, continuous improvement, and an unwavering commitment to reliability.

Apply