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Remote Startup Data Engineer Jobs in Reston, VA (NOW HIRING)

Team Velocity

Senior Data Engineer

Herndon, VA · On-site +1

$109K - $148K/yr

We are seeking a Senior Data Engineer to design, develop, and scale the data platform that powers ... Experience working in a remote-first environment. COMPENSATION Compensation commensurate on ...

AAMC

Data Engineering Specialist

Washington, DC · On-site +1

$95K - $112K/yr

HybridWork - Primarily remote roles with theabilityto work across the U.S. * Comprehensive Health ... Data Engineer is a key role on a centralized data engineering team that supports a wide range of ...

Sparibis

Data Engineer

Washington, DC · On-site +1

$129K - $155K/yr

Location: 100% Remote Years' Experience: 5+ years Professional Experience Education: Bachelor ... ensure high data quality. * Support AI/ML teams with optimizing feature engineering code.

SAIC

Big Data Engineer Senior

Arlington, VA · Remote

$64.25 - $85/hr

Big Data Engineer Schedule: Full-Time Shift: Day Job Travel: Yes - 10% of the time Minimum ... None Potential for Remote Work: ORA_ON_SITE Description SAIC is seeking qualified applicants to ...

SAIC

Big Data Engineer Senior

Arlington, VA · Remote

$64.25 - $84.75/hr

Big Data Engineer Schedule: Full-Time Shift: Day Job Travel: Yes - 10% of the time Minimum ... None Potential for Remote Work: ORA_ON_SITE Description SAIC is seeking qualified applicants to ...

GRVTY

Data Engineer with Security Clearance

Chantilly, VA · On-site +1

$118K - $142K/yr

We embed skilled Data Engineers, Data Scientists, and ETL Developers directly into intelligence ... support remote work) and requires a TS/SCI + Polygraph clearance (acceptable to this customer)

Judge Group, Inc.

Sr. Data Engineer (AI/ML)

Reston, VA · Remote

$100K - $160K/yr

Remote Security Clearance: DHS Suitability - contract requires U.S. Citizenship Must Have Qualifications: 5+ years of experience in Data/ML engineering (if school experience is used, at most that ...

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All JobsRemote Startup Data Engineer JobsRemote Startup Data Engineer Jobs in Reston, VA

Remote Startup Data Engineer information

See Reston, VA salary details

$46.3K

$135K

$184.7K

How much do remote startup data engineer jobs pay per year?

As of Jun 18, 2026, the average yearly pay for remote startup data engineer in Reston, VA is $134,951.00, according to ZipRecruiter salary data. Most workers in this role earn between $119,100.00 and $143,000.00 per year, depending on experience, location, and employer.

What engineer makes $500,000 a year?

A senior data engineer at a high-growth startup or large tech company can earn $500,000 or more annually, often including base salary, bonuses, and stock options. Achieving this level typically requires extensive experience, advanced skills in data architecture, and proficiency with tools like cloud platforms and distributed systems.

What is the difference between Remote Startup Data Engineer vs Remote Startup Data Analyst?

AspectRemote Startup Data EngineerRemote Startup Data Analyst
Required CredentialsBachelor's in CS, Data Engineering certificationsBachelor's in Statistics, Data Analysis certifications
Work EnvironmentBuilding data pipelines, infrastructureInterpreting data, creating reports
Employer & Industry UsageTech startups, SaaS companiesMarketing agencies, e-commerce startups
Common Search & ComparisonOften compared for technical depth and infrastructure focusCompared for data interpretation and business insights

The main difference between a Remote Startup Data Engineer and a Remote Startup Data Analyst lies in their focus areas. Data Engineers build and maintain data infrastructure, while Data Analysts interpret data to inform business decisions. Both roles are essential in startups but require different skill sets and responsibilities.

Can I work remotely as a data engineer?

Yes, remote work is common for data engineers, especially in startups and tech companies. Many roles require skills in SQL, Python, and cloud platforms like AWS or GCP, and often offer flexible schedules and remote collaboration tools.

Is AI replacing data engineers?

AI is transforming the role of data engineers by automating routine tasks such as data cleaning and integration, but it does not replace the need for skilled professionals to design, manage, and optimize data pipelines. Data engineers are essential for building scalable data infrastructure, ensuring data quality, and implementing AI models effectively within organizations. Proficiency in programming, cloud platforms, and data management tools remains critical for the role.

Is a data engineer need coding?

Yes, data engineers typically need coding skills to build and maintain data pipelines, work with databases, and automate data workflows. Common programming languages include Python, SQL, and Java, and familiarity with tools like Spark or Hadoop is also important.
What are the most commonly searched types of Startup Data Engineer jobs in Reston, VA? The most popular types of Startup Data Engineer jobs in Reston, VA are:
What are popular job titles related to Remote Startup Data Engineer jobs in Reston, VA? For Remote Startup Data Engineer jobs in Reston, VA, the most frequently searched job titles are:
What job categories do people searching Remote Startup Data Engineer jobs in Reston, VA look for? The top searched job categories for Remote Startup Data Engineer jobs in Reston, VA are:
What cities near Reston, VA are hiring for Remote Startup Data Engineer jobs? Cities near Reston, VA with the most Remote Startup Data Engineer job openings:
Remote Startup Data Engineer jobs near you

Senior Data Engineer

Team Velocity

Herndon, VA • On-site, Remote

$109K - $148K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 3 days ago

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.
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.
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