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Remote Data Jobs in Reston, VA (NOW HIRING)

ICF

Data Engineer (Remote - US)

Reston, VA · On-site +1

$119K - $143K/yr

... data quality. Location This is a remote role which may require occasional travel to the DC Metro area for onsite client meetings. Preference to candidates located within the Washington, DC Metro area.

ICF

Data Engineer (Remote - US)

Bethesda, MD · On-site +1

$122K - $147K/yr

... data quality. Location This is a remote role which may require occasional travel to the DC Metro area for onsite client meetings. Preference to candidates located within the Washington, DC Metro area.

ICF

Data Engineer (Remote - US)

Washington, DC · On-site +1

$129K - $155K/yr

... data quality. Location This is a remote role which may require occasional travel to the DC Metro area for onsite client meetings. Preference to candidates located within the Washington, DC Metro area.

SAIC

Data Scientist

Springfield, VA · Remote

TS/SCI with Poly Potential for Remote Work: ORA_ON_SITE Description The Data Scientist will apply their technical and analytical capabilities to support key business and security objectives. This ...

SAIC

Data Scientist

Springfield, VA · Remote

TS/SCI with Poly Potential for Remote Work: ORA_ON_SITE Description The Data Scientist will apply their technical and analytical capabilities to support key business and security objectives. This ...

Amtrak

Data & AI Engineer - 90408785 - Remote

Washington, DC · On-site +1

$129K - $155K/yr

Remote The Data & AI Engineer Specialist plays a key role in delivering Amtrak's enterprise data and AI capabilities that enable data-driven decisions, automation, and innovation. This role ...

Amtrak

Data & AI Engineer - 90408785 - Remote

Washington, DC · On-site +1

$129K - $155K/yr

Remote The Data & AI Engineer Specialist plays a key role in delivering Amtrak's enterprise data and AI capabilities that enable data-driven decisions, automation, and innovation. This role ...

Amtrak

Data & AI Engineer - 90408785 - Remote

Washington, DC · On-site +1

$129K - $155K/yr

Remote The Data & AI Engineer Specialist plays a key role in delivering Amtrak's enterprise data and AI capabilities that enable data-driven decisions, automation, and innovation. This role ...

Sharecare

Payor Data Analyst- Remote

Washington, DC · Remote

Through its data-driven AI insights, evidence-based resources, and comprehensive platform - including benefits navigation, care management, home care resources, health information management, and ...

Amtrak

Data & AI Engineer - 90408785 - Remote

Washington, DC · On-site +1

$129K - $155K/yr

Remote The Data & AI Engineer Specialist plays a key role in delivering Amtrak's enterprise data and AI capabilities that enable data-driven decisions, automation, and innovation. This role ...

TechFlow, Inc.

Senior Solutions Architect

Arlington, VA · On-site +1

Provide secure and stable methods for the remote diagnosis and resolution of maintenance issues affecting remote data collection points. * Develop and document architecture strategies and technology ...

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Showing results 1-20

All JobsData JobsRemote Data JobsRemote Data Jobs in Reston, VA

Remote Data information

See Reston, VA salary details

$47.9K

$171.7K

$253.3K

How much do remote data jobs pay per year?

As of Jun 18, 2026, the average yearly pay for remote data in Reston, VA is $171,677.00, according to ZipRecruiter salary data. Most workers in this role earn between $138,900.00 and $176,900.00 per year, depending on experience, location, and employer.

What are some common challenges faced when working as a Remote Data Analyst, and how can they be addressed?

Remote Data Analysts often face challenges such as maintaining effective communication with team members, managing access to secure data, and staying aligned with project goals across different time zones. These can be addressed by leveraging collaboration tools like Slack or Microsoft Teams, following strict data security protocols, and participating in regular virtual meetings to ensure everyone is on the same page. Proactive communication and strong organizational skills are key to thriving in a remote data role.

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

AspectRemote DataRemote Data Analyst
Required CredentialsBachelor's in Data Science, Computer Science, or related field; knowledge of databases and data toolsBachelor's in Data Science, Statistics, or related; proficiency in data analysis tools like Excel, SQL, and visualization software
Work EnvironmentRemote, often independent, with collaboration via online platformsRemote, involves analyzing data sets, creating reports, and communicating findings
Employer & Industry UsageTech companies, finance, healthcare, and e-commerceBusiness, marketing, finance, and tech sectors

Remote Data generally refers to roles focused on managing and processing data, while Remote Data Analyst emphasizes analyzing data to generate insights. Both roles often require similar educational backgrounds and work remotely, but Data Analysts typically focus more on interpreting data and creating reports for decision-making.

How can I make 2000 a week working from home?

Remote data roles such as data analyst or data scientist can offer high earning potential, especially with specialized skills in programming, statistics, and tools like SQL or Python. To reach $2000 weekly, professionals often need extensive experience, a strong portfolio, and may work as freelancers or in consulting, often requiring a full-time schedule or multiple projects simultaneously.

What job makes $10,000 a month without a degree?

Remote data-related roles such as data analyst, data engineer, or freelance data consultant can potentially earn $10,000 or more per month without a formal degree, especially with strong skills in SQL, Python, or data visualization tools. Success in these roles often depends on experience, portfolio, and the ability to secure high-paying clients or positions, rather than formal education alone.

How to make $1000 a week remotely?

Remote data-related jobs such as data analysis, data entry, or data management can offer opportunities to earn $1000 weekly, especially with high-demand skills like SQL, Excel, or Python. Achieving this income typically requires consistent work, specialized skills, and possibly freelance or contract work arrangements that pay per project or hourly rates of $25-$50 or more.

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

To thrive as a Remote Data Analyst, you need strong analytical skills, proficiency in statistics, and a background in data science or a related field. Familiarity with data analysis tools such as Python, R, SQL, and platforms like Tableau or Power BI, along with relevant certifications, is typically required. Excellent self-motivation, time management, and communication skills help you stand out in a remote environment. These capabilities are crucial for delivering accurate insights, collaborating effectively from a distance, and meeting business objectives efficiently.

Is 40 too late for data science?

Age is not a barrier to entering data science, and many professionals successfully transition into the field at age 40 or later. Success depends on acquiring relevant skills such as programming, statistics, and machine learning, often through online courses or certifications, and building a strong portfolio. Employers value experience and problem-solving ability, making it possible to start a data science career at any age with dedication.

What are remote data jobs?

Remote data jobs are positions that involve collecting, analyzing, managing, or interpreting data while working from a location outside the traditional office environment. These roles can include data analysts, data scientists, data entry specialists, and database administrators, among others. Remote data professionals use online tools and platforms to access and process data, collaborate with teams, and deliver insights or reports. This flexible work arrangement allows individuals to contribute to data-driven projects from anywhere with an internet connection.
What are the most commonly searched types of Data jobs in Reston, VA? The most popular types of Data jobs in Reston, VA are:
What are popular job titles related to Remote Data jobs in Reston, VA? For Remote Data jobs in Reston, VA, the most frequently searched job titles are:
What job categories do people searching Remote Data jobs in Reston, VA look for? The top searched job categories for Remote Data jobs in Reston, VA are:
What cities near Reston, VA are hiring for Remote Data jobs? Cities near Reston, VA with the most Remote Data job openings:
Remote Data jobs near you
Infographic showing various Remote Data job openings in Reston, VA as of June 2026, with employment types broken down into 93% Full Time, 5% Part Time, and 2% Contract. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution, with an average salary of $171,677 per year, or $82.5 per hour.
Data Engineer/Data Project Lead (REMOTE)

Data Engineer/Data Project Lead (REMOTE)

Koniag, Inc.

Chantilly, VA • On-site, Remote

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 3 days ago

Job description

Koniag Professional Services LLC, a Koniag Government Services company, is seeking a Data Engineer/Data Project Lead to support KPS and our government customer. The position is remote. This position requires the candidate to be able to obtain a Public Trust. This position is for a Future New Business Opportunity
We offer competitive compensation and an extraordinary benefits package including health, dental and vision insurance, 401K with company matching, flexible spending accounts, paid holidays, three weeks paid time off, and more.
Koniag Professional Services, LLC is seeking an experienced Data Engineer/Data Project Lead HQ to provide strategic leadership and technical expertise in managing complex data infrastructure, systems integration, and data project execution supporting federal discretionary grants administration. This senior-level position is responsible for overseeing and leading large and complex projects within an organization, managing project portfolios, defining project strategies, leading project teams, ensuring project quality, and managing project risks. The Data Engineer/Data Project Lead HQ may provide strategic direction, mentor junior project managers, and collaborate with executive stakeholders to achieve project goals. This role requires a high level of autonomy, leadership, and decision-making in driving project success.
The Data Engineer/Data Project Lead HQ will lead strategic data initiatives and provide hands-on technical leadership for complex federal grants administration systems.
Principal responsibilities will include but are not limited to:
  • Lead all data projects using Agile methodologies while supervising Data Analysts, Data Visualization Specialists, Data Management Specialists, and Data Entry Support Specialists, providing technical leadership, mentorship, performance evaluations, and resource allocation aligned with team strengths
  • Manage project portfolios, define project strategies, ensure project quality, and manage project risks and dependencies; collaborate with executive stakeholders to achieve project goals
  • Design, develop, and maintain data infrastructure including pipelines, ETL processes, APIs, data warehousing solutions, and cloud-based architectures (AWS, Azure) using Python, SQL, serverless technologies, and automated testing frameworks
  • Develop workflow-tracking solutions that integrate data from multiple federal systems (HSES, AMS, GrantSolutions, TTA Hub), including automated notifications, and implement data governance to ensure compliance with federal security standards and validate data quality
  • Create solutions to generate standardized documentation, such as templates and funding guidance letters, by efficiently producing and populating documents and integrating data from other systems
  • Communicate technical concepts to diverse audiences, translate business requirements into technical solutions, facilitate Agile ceremonies, manage project risks and dependencies, and provide timely status reporting
  • Create comprehensive documentation, including technical specifications, data dictionaries, system architecture diagrams, user guides, and runbooks, to support knowledge transfer and system sustainability
  • Identify automation opportunities, recommend system improvements, evaluate emerging technologies, apply AI appropriately within federal policies, and foster a culture of continuous improvement
  • Maintain version control with GitHub, use Docker for containerization, implement CI/CD pipelines, and ensure 99.9% system uptime and high availability
  • Travel within and outside the Region to conduct site visits, attend meetings, conferences, and training

Education and Experience
Required:
  • Bachelor's degree in Computer Science, Information Systems, Data Science, Data Engineering, or related field from an accredited college or university
  • At least 10 years of relevant and progressive post-baccalaureate professional experience directly related to database design, ETL processes, data warehousing, and developing, implementing, and managing/improving complex, high-profile, multi-faceted data projects
  • Minimum 3 years of progressive supervisory experience leading technical teams
  • Demonstrated proficiency/experience in successfully developing, implementing, and managing/improving complex, high-profile, multi-faceted data projects
  • Proven track record delivering complex data projects on time and within budget
  • U.S. citizenship or legal authorization to work in the United States

Required Skills and Competencies:
  • Demonstrated ability to coach team members effectively
  • Demonstrated proficiency to communicate clearly, both orally and in writing
  • Demonstrated proficiency in database design, ETL processes, and data warehousing
  • SQL and programming language proficiency, with expert knowledge particularly in Python
  • API development and integration expertise
  • Experience integrating data from various federal systems using efficient processes, including building data pipelines, using APIs, and leveraging federal data layers
  • Creating workflow and task-tracking solutions supporting federal priorities including monitoring applications, complaints, inquiries, incidents, corrective actions, program requests, enrollment reports, activities related to the Full Enrollment Initiative, hires, waivers, monitoring, staff rosters, and correspondence
  • Data governance and security knowledge, with the ability to ensure compliance with federal security standards
  • Proven ability to address team member and client concerns and resolve problems effectively
  • Proficient with Microsoft Office Suite and web-based collaboration tools
  • Ability to work both independently and collaboratively in a team environment
  • Ability to maintain confidentiality and handle sensitive information appropriately
  • Ability to pass required background investigations for access to federal facilities and systems
  • Willingness to complete mandatory training requirements
  • Availability to travel within and outside the Region as needed

Security Requirement:
  • Ability to obtain a Public Trust

Desired Skills and Competencies:
  • Master's degree in Computer Science, Information Systems, Data Science, Data Engineering, or related field
  • At least 1 year of experience in early childhood education and/or Head Start programs (highly preferred)
  • Federal information systems experience preferred
  • Application of AI in data pipelines preferred
  • Experience with early childhood education and/or Head Start programs
  • Cloud platform expertise: AWS, Azure
  • Proficiency with Docker, Confluence
  • Database systems: PostgreSQL, SQL Server, Oracle
  • Project Management certifications in Agile/Scrum methodologies
  • Version control systems: GitHub experience
  • CI/CD pipeline implementation experience
  • Experience with containerization and serverless technologies
  • Automated testing frameworks knowledge
  • Knowledge of emerging technologies and their application in federal contexts

Our Equal Employment Opportunity Policy
The company is an equal opportunity employer. The company shall not discriminate against any employee or applicant because of race, color, religion, creed, ethnicity, sex, sexual orientation, gender or gender identity (except where gender is a bona fide occupational qualification), national origin or ancestry, age, disability, citizenship, military/veteran status, marital status, genetic information or any other characteristic protected by applicable federal, state, or local law. We are committed to equal employment opportunity in all decisions related to employment, promotion, wages, benefits, and all other privileges, terms, and conditions of employment.
The company is dedicated to seeking all qualified applicants. If you require an accommodation to navigate or apply for a position on our website, please get in touch with Heaven Wood via e-mail at accommodations@koniag-gs.com or by calling 703-488-9377 to request accommodations.
Koniag Government Services (KGS) is an Alaska Native Owned corporation supporting the values and traditions of our native communities through an agile employee and corporate culture that delivers Enterprise Solutions, Professional Services and Operational Management to Federal Government Agencies. As a wholly owned subsidiary of Koniag, we apply our proven commercial solutions to a deep knowledge of Defense and Civilian missions to provide forward leaning technical, professional, and operational solutions. KGS enables successful mission outcomes for our customers through solution-oriented business partnerships and a commitment to exceptional service delivery. We ensure long-term success with a continuous improvement approach while balancing the collective interests of our customers, employees, and native communities. For more information, please visit www.koniag-gs.com.
Equal Opportunity Employer/Veterans/Disabled. Shareholder Preference in accordance with Public Law 88-352
Koniag logo

About Koniag

Sourced by ZipRecruiter

Industry

Investment management and consulting services

Company size

501 - 1,000 Employees

Headquarters location

Kodiak, AK, US

Year founded

1972

Social media

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