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Analytics Engineer Remote Dbt Jobs in Reston, VA

HelioCampus

Analytics Engineer

Bethesda, MD · On-site +1

Exposure to data warehousing concepts and modern data stack tools (e.g., dbt, Snowflake, Redshift ... This specific role is primarily remote, with occasional travel to an office or client site.

AHU Technologies Inc

Analytics Engineer

Washington, DC · Remote

$80 - $100/hr

Remote (USA) Duration: Long Term Rate: Quote your best Required Qualifications: * At least 10+ years extensive experience in Analytics or Data engineering roles , with a strong record of leading ...

AHU Technologies, Inc.

Analytics Engineer

Washington, DC · On-site +1

$80 - $100/hr

Remote (USA) Duration: Long Term Rate: Quote your best Required Qualifications: * At least 10+ years extensive experience in Analytics or Data engineering roles , with a strong record of leading ...

Aledade

Full-Stack Analytics Engineer II

Washington, DC · On-site +1

Expert SQL skills; deep experience with dbt and dimensional/event-temporal modeling. * Demonstrated ... remote-first culture - you've come to the right place. What Does This Mean for You? At Aledade, you ...

Aledade

Full-Stack Analytics Engineer II

Washington, DC · On-site +1

Expert SQL skills; deep experience with dbt and dimensional/event-temporal modeling. * Demonstrated ... remote-first culture - you've come to the right place. What Does This Mean for You? At Aledade, you ...

Arbor

Data Engineer

Washington, DC · Remote

$117K - $140K/yr

... analytics engineering role, ideally at a high-growth startup or in a domain involving complex, real-time data (energy, fintech, marketplace, or similar). Strong dbt fundamentals -- you know how to ...

VetsEZ

DevSecOps Engineer (Remote Opportunity)

Washington, DC · Remote

$59.75 - $81.75/hr

We are currently looking for a DevSecOps Engineer for a 100% remote position on a large federal ... Participate in incident response efforts, root cause analysis, and continuous process improvement ...

VetsEZ

DevSecOps Engineer (Remote Opportunity)

Washington, DC · On-site +1

$59.75 - $81.75/hr

We are currently looking for a DevSecOps Engineer for a 100% remote position on a large federal ... Participate in incident response efforts, root cause analysis, and continuous process improvement ...

The Social App

Full Stack Engineer (Remote)

Washington, DC · Remote

$125K - $185K/yr

Experience with Node.Js * Knowledge of machine learning and data analytics * Experience in building ... Remote with quarterly all-hands in-person. This role compensation is consisting of pay and ...

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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 5, 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.

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.

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 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 Reston, VA? For Analytics Engineer Remote Dbt jobs in Reston, VA, the most frequently searched job titles are:
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:
Analytics Engineer Remote Dbt jobs near you
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.
Analytics Engineer

Analytics Engineer

HelioCampus

Bethesda, MD • On-site, Remote

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 22 days ago

Job description

Who We Are:
HelioCampus was founded with the purpose of helping college & university leaders navigate today's growing pressures. As one of EdTech's most steadily growing companies, our roots in higher ed ground us in the critical nature of this work.
What We Do:
We help our clients navigate today's high stakes with data and Institutional Performance Management practices. Together with our clients, we chart a path to sustainability by borrowing practices from the most successful businesses.
How We Do It:
We approach our work with a "we're on it" attitude that the higher ed community has come to know and expect from our team. We're data geeks to our core, committed to simplifying the toughest challenges and operating with transparency. Our most successful team members are change agents who love a challenge.
How You'll Help:
As an Analytics Engineer, you will play a key role in transforming data into meaningful insights that drive institutional decision-making. You'll partner with cross-functional teams to design scalable data solutions, improve data quality, and deliver impactful analytics to our clients.
What You Will Do:
  • Design and implement robust, scalable data pipelines to support analytics and reporting needs.
  • Build, maintain, and optimize ETL/ELT processes across cloud-based data platforms.
  • Develop and automate reporting solutions and interactive dashboards using modern BI tools.
  • Ensure data integrity, quality, and governance across multiple data sources.
  • Apply statistical and analytical techniques to generate actionable business insights.
  • Collaborate with engineers, analysts, and client stakeholders to translate business needs into technical solutions.
  • Lead smaller projects or own key components of larger initiatives.
  • Contribute to continuous improvement efforts, including performance tuning and process automation.
  • Mentor junior team members and support knowledge sharing across the team.

You Will Be a Good Fit For This Role If You Have:
  • 2-4 years of experience in analytics engineering, data engineering, or a related field.
  • A bachelor's or master's degree in computer science, data analytics, information systems, or a related discipline.
  • Strong programming skills in languages such as Python, SQL, Scala, or Java.
  • Experience working with relational and/or NoSQL databases.
  • Hands-on experience building and optimizing ETL/ELT pipelines.
  • Familiarity with big data technologies such as Apache Spark or Hadoop.
  • Experience with BI tools and building dashboards (e.g., Tableau, Power BI, Looker, etc.).
  • Strong problem-solving skills with the ability to work through moderately complex data challenges.
  • Excellent communication skills with the ability to translate technical concepts into business insights.
  • A collaborative mindset and growing ability to lead projects or mentor others.

Nice To Have's Include:
  • Experience with cloud platforms such as AWS, Azure, or GCP.
  • Exposure to data warehousing concepts and modern data stack tools (e.g., dbt, Snowflake, Redshift, BigQuery).
  • Experience with real-time or stream-processing systems.
  • Background working with higher education data or in a consulting environment.
  • Familiarity with data governance and data modeling best practices.

Projects You Will Work On:
  • Designing and enhancing enterprise data models for higher education institutions.
  • Building scalable data pipelines for institutional performance metrics (enrollment, retention, finance, etc.).
  • Developing advanced dashboards and reporting tools for executive-level decision-making.
  • Implementing data quality frameworks and monitoring systems.
  • Supporting cloud data warehouse initiatives across platforms like AWS, Azure, or GCP.

Location:
HelioCampus has two locations, Bethesda, MD and Chapel Hill, NC. This specific role is primarily remote, with occasional travel to an office or client site.
Compensation and Benefits:
HelioCampus offers employees a competitive salary along with paid time off, healthcare, vision, dental, 401(k) w/ company match, parental leave, remote work flexibility, home office perks, and a fun, collaborative work environment.
What Sets Us Apart:
1. Commitment to Higher Education: We believe that serving higher ed makes the world a better place. This drives our desire to deliver high-quality products and services to help higher education institutions serve their students and communities.
2. Flexibility to Fit Your Life: HelioCampus employees enjoy the autonomy, freedom, and trust of a remote-first working environment. We embrace an "on it" mentality both in and out of the workplace, and employees are supported in pursuing personal and professional passions.
3. A Community of Bright Minds with Big Hearts: HelioCampus hires curious and talented practitioners who bring a diversity of thought and genuine care for one another and our clients to work every day. Our team members are more than a job description and are encouraged to show up as their full and authentic selves.
What We Believe:
HelioCampus is an equal opportunity employer, and all qualified candidates will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status.
Disclaimer:
The list of responsibilities described above is not comprehensive. Other tasks not mentioned here may be required. Changing business conditions may trigger changes to job responsibilities. This job description is not an employment contract.
Physical Qualifications:
This position requires the following physical qualifications to support a productive remote work environment. We are dedicated to providing reasonable accommodations for individuals with disabilities to perform the essential functions of this role. If you require accommodations, please discuss this during the application process.
Vision: Sufficient visual acuity to read documents, view computer screens, and engage in tasks that require attention to detail.
Hearing: Ability to communicate effectively in person (as applicable) and via phone or video conferencing, ensuring clear understanding of verbal instructions.
Fine Motor Skills: Proficient use of hands for typing, using a mouse, and managing office equipment such as printers and scanners.
Lifting: Occasional lifting of up to 10 pounds (e.g., office supplies or equipment).
Locations Remote Remote status Fully Remote

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