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Analytics Engineer Remote Dbt Jobs in Reston, VA

Senior Sales Engineer (Remote)

Washington, DC ยท Remote

$103K - $138K/yr

The Senior Sales Engineer will design and launch a formal Channel Partner Activation Program ... Strong problem-solving skills, with the ability to analyze customer challenges and develop creative ...

Machine Learning Engineer - Remote

Vienna, VA ยท On-site +1

$140K - $150K/yr

... Analytics, Artificial Intelligence/Machine Learning, Cyber Security and Cutting Edge Technology ... Engineer high-quality features and maintain training/inference pipelines. Cloud and Platform ...

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Mac OS Engineer - REMOTE

Washington, DC ยท Remote

$65 - $75/hr

Strong troubleshooting and root-cause analysis skills for macOS systems, applications, and endpoint ... Experience with automation and modern endpoint engineering best practices. Company Description ...

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Showing results 1-20

Analytics Engineer Remote Dbt information

See Reston, VA salary details

$37.5K

$100.9K

$154.5K

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

As of Jun 9, 2026, the average yearly pay for analytics engineer remote dbt in Reston, VA is $100,883.00, according to ZipRecruiter salary data. Most workers in this role earn between $91,600.00 and $114,400.00 per year, depending on experience, location, and employer.

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 is an Analytics Engineer and what do they do, especially in a remote role using dbt?

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.

What are the key skills and qualifications needed to thrive as a Remote Analytics Engineer specializing in dbt, and why are they important?

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 Reston, VA look for? The top searched job categories for Analytics Engineer Remote Dbt jobs in Reston, VA are:
What cities near Reston, VA are hiring for Analytics Engineer Remote Dbt jobs? Cities near Reston, VA with the most Analytics Engineer Remote Dbt job openings:
Infographic showing various Analytics Engineer Remote Dbt job openings in Reston, VA as of May 2026, with employment types broken down into 79% Full Time, 18% Part Time, and 3% Contract. Highlights an 70% Physical, 2% Hybrid, and 28% Remote job distribution, with an average salary of $100,883 per year, or $48.5 per hour.
Data Analytics & Engineering Opportunities

Data Analytics & Engineering Opportunities

Venable LLP

Washington, DC โ€ข On-site, Remote

$65K - $105K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 7 days ago


Job description

Venable LLP's Technology & Innovation Group Venable Blue team seeks Data Analytics & Engineering professionals in the Washington, D.C., New York, Illinois, Denver, and California regions. The Data Analytics & Engineering professionals support temporary client-based projects. This is a non-attorney position.

We are hiring for a variety of data analytics and engineering roles that are temporary, project based and will be remote or hybrid based off client needs.

Seeking professionals skilled in the following:

  • Experience with SQL (Oracle, Vertica, Hive, MySQL, or similar) Python, or R
  • Experience with Business Intelligence tools such as, Tableau, Microstrategy, or similar
  • Ability to present complex findings clearly and work cross-functionally

Venable LLP does not discriminate on the basis of race, gender, ethnicity, religion, national origin, age, disability, veteran status, or on any other basis prohibited by law. To view our inclusion and opportunity policy, please click here.

Applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act, as applicable. Material job duties for this role include having access to privileged and confidential firm and client information, firm employees, and the firm's premises. This role requires the hired individual to perform the material job duties outlined in this job posting. If the firm reasonably believes an applicant's criminal history may have a direct, adverse, and negative relationship with the material job duties required by the role, a conditional offer of employment may be rescinded.

Applicants with arrest or conviction records will be considered for employment in accordance with the San Francisco Fair Chance Ordinance and the California Fair Chance Act, as applicable. Material job duties for this role include having access to privileged and confidential firm and client information, firm employees, and the firm's premises. This role requires the hired individual to perform the material job duties outlined in this job posting. If the firm reasonably believes an applicant's criminal history may have a direct, adverse, and negative relationship with the material job duties required by the role, a conditional offer of employment may be rescinded.

Venable's benefits package includes medical, dental, vision, disability, life insurance, flexible spending and healthcare savings accounts, 401(k) with firm profit share, paid vacation and sick time, firm paid holidays, wellness and personal advocacy programs, family planning resources and leave programs, tuition reimbursement, and more. New employees are provided a detailed orientation to the firm's benefit offerings upon hire.

The anticipated base salary for Data Analytics & Engineering positions is $65,000 - 105,000 per year. The actual salary offered will be based on a number of job related factors including, but not limited to, years of related experience, level of education, skills, credentials and certifications, responsibilities and performance. Additional compensation may include discretionary bonuses and overtime, if eligible. Overtime wages earned will be paid in compliance with applicable law.