2

Remote Freelance Analytics Engineer Jobs in Virginia

Senior Data Engineer

Herndon, VA · On-site +1

$150K - $180K/yr

We are seeking a Senior Data Engineer to design, develop, and scale the data platform that powers ... analytical, and AI-driven initiatives. This is a full-time, salaried, remote position. Candidate ...

Senior Data Engineer

Herndon, VA · Remote

$150K - $180K/yr

We are seeking a Senior Data Engineer to design, develop, and scale the data platform that powers ... analytical, and AI-driven initiatives. This is a full-time, salaried, remote position. Candidate ...

The position is remote. We offer competitive compensation and an extraordinary benefits package ... Analyze legacy application architectures, authentication mechanisms, and data flows to identify ...

The position is remote. We offer competitive compensation and an extraordinary benefits package ... Analyze legacy application architectures, authentication mechanisms, and data flows to identify ...

The position is remote. We offer competitive compensation and an extraordinary benefits package ... Analyze legacy application architectures, authentication mechanisms, and data flows to identify ...

This position is remote within the United States. Please note that ICF monitors employee work ... Partner with cybersecurity, engineering, product, and program management teams to align data ...

This position collaborates with engineers, operators, analysts, and cybersecurity teams to ensure ... FAA Part 107 Remote Pilot Certification (required) Physical Requirements / Working Conditions ...

Senior Full Stack Engineer

Mclean, VA · Remote

$130K - $185K/yr

Remote Terms: Full-time Salary Range: $130K-185k DOE Clearance: Qualified candidates must be US ... Conduct software analysis, programming, testing, and debugging activities. * Analyze user ...

Senior Software Engineer

Chantilly, VA · On-site +1

$126K - $166K/yr

Analyze software and system requirements to develop technical solutions that meet operational ... Hybrid Work Environment Flexible work arrangements may include a combination of remote and onsite ...

General information Job Posting Title Lead Security Engineer - Remote Date Wednesday, August 12 ... analysis, and remediation tracking. - Advise on security technologies such as SIEM, EDR, firewalls ...

Showing results 21-40

Remote Freelance Analytics Engineer information

What is the difference between Remote Freelance Analytics Engineer vs Data Analyst?

AspectRemote Freelance Analytics EngineerData Analyst
CredentialsOften requires technical skills in SQL, Python, or R; certifications like Google Data Analytics or Tableau are commonTypically needs a degree in statistics, mathematics, or related fields; certifications like Microsoft Data Analyst Associate are beneficial
Work EnvironmentRemote, project-based, freelance setup with flexible hoursRemote or on-site, employed by companies or agencies, with regular hours
Employer & Industry UsageUsed by startups, tech firms, consulting agencies for specialized projectsEmployed across industries for ongoing data reporting and analysis tasks

While both roles involve working with data, a Remote Freelance Analytics Engineer focuses on building and optimizing data systems and pipelines on a project basis, often requiring advanced technical skills. In contrast, a Data Analyst primarily interprets data to generate reports and insights, usually within a fixed employment setting.

What are the most commonly searched types of Remote Analytics Engineer jobs in Virginia?

The most popular types of Remote Analytics Engineer jobs in Virginia are:

What cities in Virginia are hiring for Remote Freelance Analytics Engineer jobs?

Cities in Virginia with the most Remote Freelance Analytics Engineer job openings:

Senior Data Engineer

Team Velocity

Herndon, VA • On-site, Remote

$150K - $180K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted yesterday


Job description

We are seeking a Senior Data Engineer to design, develop, and scale the data platform that powers analytics, business intelligence, machine learning, and customer-facing products across our organization. This role will focus on building reliable, high-performance data pipelines and modern data architectures that enable trusted, accessible, and actionable data.
The ideal candidate combines strong software engineering skills with deep expertise in cloud data platforms and distributed data processing. This individual will partner with Product, Engineering, Business Intelligence, Data Science, and business stakeholders to deliver scalable data solutions that support operational, analytical, and AI-driven initiatives.
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
  • Design, build, and maintain scalable data pipelines and ELT/ETL workflows.
  • Develop and optimize data models and enterprise data structures that support reporting, analytics, machine learning, and operational applications.
  • Leverage Snowflake and modern cloud data platforms to ingest, transform, and optimize large datasets.
  • Partner with Business Intelligence and Data Science teams to deliver trusted, production-ready datasets.
  • Design and implement data quality, validation, and monitoring processes.
  • Support both batch and near real-time data integration requirements.
  • Develop APIs and data services that enable internal and customer-facing applications.
  • Optimize data pipeline performance, scalability, and cost efficiency.
  • Document data architectures, pipeline processes, and engineering standards.
  • Evaluate emerging technologies and recommend improvements to the organization's data platform.
  • Mentor team members and help establish engineering best practices.

Qualifications
  • 7+ years of experience in Data Engineering, Software Engineering, or a related field.
  • Strong SQL skills and extensive experience working with modern cloud data platforms, preferably Snowflake.
  • Strong proficiency with Python and data engineering development practices.
  • Experience designing and maintaining large-scale ELT/ETL pipelines.
  • Strong understanding of data modeling, data warehousing, and distributed data architectures.
  • Experience integrating structured and semi-structured data from multiple internal and external sources.
  • Familiarity with data orchestration and transformation frameworks.
  • Strong troubleshooting and performance optimization skills.
  • Excellent communication and stakeholder management skills.
  • Ability to work independently while managing multiple initiatives.

Preferred Qualifications
  • Automotive industry data experience, including vehicle, dealership, CRM, inventory, consumer, telematics, finance, aftermarket, or mobility datasets.
  • Experience with dbt and modern analytics engineering workflows.
  • Experience with streaming technologies and event-driven architectures.
  • Experience supporting Business Intelligence, Data Science, and AI initiatives.
  • Familiarity with machine learning data pipelines and feature engineering concepts.
  • Experience working 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 base salary range for this position is $150,000-$180,000 annually. The final compensation package will be based on experience, qualifications, and skills.
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.