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

MetaPhase Consulting

Lead Data Engineer

Reston, VA · Remote

$106K - $140K/yr

Remote. Travel * N/A Education Level * Bachelor's degree in data analytics engineering, computer science, or a related technical field required; aMaster'sdegree is preferred. Clearance Level

MetaPhase Consulting

Lead Data Engineer

Reston, VA · Remote

$106K - $140K/yr

Remote . Travel * N/A Education Level * Bachelor's degree in data analytics engineering, computer science, or a related technical field required; a M aster's degree is preferred. Clearance Level

10a Labs

Data Engineer, Web Scraping

Washington, DC · Remote

$105K - $125K/yr

Collaborate with ML engineers, other data engineers, and software developers to deliver actionable ... Fully remote, U.S.-based * Health Benefits: Comprehensive health, dental, and vision coverage

Team Velocity

Senior Data Engineer

Herndon, VA · Remote

$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 ...

New

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 ...

Atreides

Mission (Data) Engineer

Arlington, VA · Remote

$117K - $140K/yr

Mission (Data)Engineer Travel: Approximately 10% international travel required. Number of Openings ... Flexible remote work environment * Additional benefits like flexible hours, work travel ...

Atreides

Mission (Data) Engineer

Arlington, VA · Remote

$131K - $158K/yr

Mission (Data)Engineer Travel: Approximately 10% international travel required. Number of Openings ... Flexible remote work environment * Additional benefits like flexible hours, work travel ...

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 ...

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Showing results 1-20

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

Remote Amazon Data Engineer information

See Reston, VA salary details

$46.3K

$135K

$184.7K

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

As of Jun 18, 2026, the average yearly pay for remote amazon 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.

Can I work remotely as a data engineer?

Remote work is common for data engineers, including those working with companies like Amazon. Many data engineering roles involve tasks such as data pipeline development, database management, and cloud platform usage, which can often be performed remotely with the right skills and tools. However, some positions may require on-site presence for collaboration or specific project needs.

How much do Amazon data engineers make?

Amazon data engineers typically earn between $100,000 and $150,000 annually, depending on experience, location, and skill level. Senior roles or those with expertise in cloud platforms and big data tools may earn higher salaries, often exceeding $160,000.

What does a Remote Amazon Data Engineer do?

A Remote Amazon Data Engineer is responsible for designing, building, and maintaining scalable data pipelines and databases for Amazon or companies using Amazon Web Services (AWS). They work remotely to process large volumes of data, ensure data quality, and enable efficient data analysis. Their tasks typically include extracting data from various sources, transforming it into usable formats, and loading it into data warehouses or analytics platforms. They often use AWS tools such as Redshift, Glue, S3, and Lambda to manage infrastructure and automate workflows. Strong programming skills in languages like Python or SQL are essential for this role.

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

AspectRemote Amazon Data EngineerRemote Amazon Data Analyst
Required CredentialsBachelor's in CS, Data Engineering certificationsBachelor's in Statistics, Data Analysis certifications
Work EnvironmentDesigning data pipelines, managing ETL processesInterpreting data, creating reports and dashboards
Employer & Industry UsageTech companies, e-commerce, cloud servicesRetail, marketing, e-commerce
Common Search & ComparisonFocus on data infrastructure and pipelinesFocus on data insights and reporting

The main difference between a Remote Amazon Data Engineer and a Remote Amazon Data Analyst lies in their roles. Data Engineers build and maintain data pipelines and infrastructure, requiring technical skills in data architecture. Data Analysts interpret data to generate insights, focusing on analysis and reporting. Both roles are essential in data-driven companies but serve different functions within the data ecosystem.

Does Amazon hire for remote work?

Amazon offers remote work opportunities for various roles, including data engineers, depending on the position and team needs. Many remote positions require relevant skills, such as experience with cloud platforms like AWS, and may involve flexible schedules or specific technical requirements.

What are some common challenges faced by Remote Amazon Data Engineers, and how can they be addressed?

Remote Amazon Data Engineers often encounter challenges related to collaborating across time zones and ensuring clear communication with global teams. Effective use of collaboration tools, regular virtual meetings, and clear documentation can help bridge these gaps. Additionally, managing large-scale data pipelines on AWS requires staying updated on best practices for security, scalability, and cost optimization. Proactively participating in team stand-ups and engaging in continuous learning about AWS services can significantly enhance productivity and project outcomes.

What engineers make $500,000?

Senior data engineers, especially those working at large tech companies like Amazon, can earn $500,000 or more annually, including base salary, bonuses, and stock options. Achieving this level typically requires extensive experience, advanced skills in data architecture, cloud platforms, and programming, as well as a track record of impactful projects.

What are the key skills and qualifications needed to thrive as a Remote Amazon Data Engineer, and why are they important?

To thrive as a Remote Amazon Data Engineer, you need strong expertise in data modeling, ETL development, SQL, and programming languages such as Python or Java, typically supported by a degree in computer science or a related field. Familiarity with AWS services like Redshift, S3, Glue, and data pipeline tools, as well as certifications such as AWS Certified Data Analytics, are highly valued. Excellent problem-solving, communication, and self-management skills help remote engineers collaborate effectively and deliver reliable data solutions. These abilities are crucial for ensuring robust, scalable data infrastructure and supporting data-driven decision-making in a distributed work environment.
What are the most commonly searched types of Amazon Data Engineer jobs in Reston, VA? The most popular types of Amazon Data Engineer jobs in Reston, VA are:
What are popular job titles related to Remote Amazon Data Engineer jobs in Reston, VA? For Remote Amazon Data Engineer jobs in Reston, VA, the most frequently searched job titles are:
What job categories do people searching Remote Amazon Data Engineer jobs in Reston, VA look for? The top searched job categories for Remote Amazon Data Engineer jobs in Reston, VA are:
What cities near Reston, VA are hiring for Remote Amazon Data Engineer jobs? Cities near Reston, VA with the most Remote Amazon Data Engineer job openings:
Remote Amazon Data Engineer jobs near you
Data Engineer

Data Engineer

INSPYR Solutions

Mclean, VA • On-site, Remote

$50/hr

Other

Medical, Retirement

Posted 12 days ago

Job description

Title: Data EngineerLocation: Remote - close to one of the corporate offices in McLean, VA, Dallas, TX or Memphis, TN that can come into office as needed. Pay: $50/hourDuration: Ongoing ContractWork Authorization: , or Authorized to Work in the US without sponsorship
Position Overview

The Senior Data Engineer will be responsible for supporting and enhancing data systems and architectures within a complex enterprise data ecosystem. This role involves working closely with business, product, analytics, and technology teams to understand requirements, design solutions, and ensure successful delivery of data-driven initiatives.

Key Responsibilities
  • Understand project requirements and support both new and existing data systems within the enterprise data ecosystem
  • Organize technical work efforts, identify required data sources, and contribute to solution design
  • Analyze existing data architecture and legacy systems to understand impacts on new reporting and analytics solutions
  • Collaborate with data and business teams to align on requirements, artifacts, and Martech-related initiatives
  • Monitor project implementation progress and escalate status updates, risks, and issues to senior and lead stakeholders
  • Partner with internal teams including Business, Product, Technology, and Analytics to ensure alignment and delivery
  • Support internal data teams by clarifying requirements, proactively identifying risks, and maintaining clear communication across stakeholders
  • Gather detailed business requirements and develop end-to-end data solutions for organizational initiatives
Required Qualifications
  • Bachelor’s Degree with 5+ years of experience in Technology or a related field
  • 3+ years of hands-on experience in data engineering, including data quality, ETL, and system maintenance
  • 3+ years of hands-on experience with tools such as Talend, AWS Glue, and Lambda
  • 3+ years of experience with cloud data warehouses such as Redshift, Snowflake, or similar CDW platforms
  • Strong experience working in cloud and hybrid data environments
  • Exposure to AWS cloud environments preferred
  • Experience working in customer-facing environments
  • Travel, hospitality, or related industry experience is a strong plus
Our benefits package includes:
  • Comprehensive medical benefits
  • Competitive pay
  • 401(k) retirement plan
  • ...and much more!

About INSPYR Solutions
Technology is our focus and quality is our commitment. As a national expert in delivering flexible technology and talent solutions, we strategically align industry and technical expertise with our clients'' business objectives and cultural needs. Our solutions are tailored to each client and include a wide variety of professional services, project, and talent solutions. By always striving for excellence and focusing on the human aspect of our business, we work seamlessly with our talent and clients to match the right solutions to the right opportunities. Learn more about us at inspyrsolutions.com.
INSPYR Solutions provides Equal Employment Opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, or genetics. In addition to federal law requirements, INSPYR Solutions complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities.

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