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Weekend Data Jobs in Virginia (NOW HIRING)

Our team member must be willing to be on call for weekend requirements. The candidate MUST be a US ... Communicate data findings to the customer to provide critical information that will assist their ...

Data Scientist

Alexandria, VA · On-site

$125 - $150/hr

Data Scientist Location: Hybrid/Alexandria, VA At GeoDelphi Inc., we harness the power of ... Our team member must be willing to be on call for weekend requirements. The candidate MUST be a US ...

Data Engineer

Richmond, VA · On-site

$100 - $125/hr

Required 5 to 7+ years of Data Engineering experience. * ETL development and process support; may require weekend/off-business-hours work. Key Responsibilities * Build end-to-end data pipelines and ...

Data Center Technician

Ashburn, VA · On-site

$32 - $37/hr

Participate in biweekly on-call rotations for after-hours and weekend support. * Document all ... Familiarity with data center standards, power infrastructure, and change management processes is ...

Data Center Technician position involves in-depth hardware and network diagnostics followed by ... BASIC QUALIFICATIONS - Work a flexible schedule including weekends, nights, and holidays - 18 ...

Data Center Technician position involves in-depth hardware and network diagnostics followed by ... BASIC QUALIFICATIONS - Work a flexible schedule including weekends, nights, and holidays - 18 ...

Data Center Technician position involves in-depth hardware and network diagnostics followed by ... BASIC QUALIFICATIONS - Work a flexible schedule including weekends, nights, and holidays - 18 ...

... weekend, holiday, and/or night work to ensure our global data centers are operating at the highest levels of reliability for our customers. All candidates should be willing to work both independently ...

Data Center Technician position involves in-depth hardware and network diagnostics followed by ... BASIC QUALIFICATIONS - Work a flexible schedule including weekends, nights, and holidays - 18 ...

... weekend, holiday, and/or night work to ensure our global data centers are operating at the highest levels of reliability for our customers. All candidates should be willing to work both independently ...

Data Center Technician position involves in-depth hardware and network diagnostics followed by ... BASIC QUALIFICATIONS - Work a flexible schedule including weekends, nights, and holidays - 18 ...

Primary responder responsibilities may require evening, weekend, holiday, and/or night work to ensure our global data centers are operating at the highest levels of reliability for our customers. All ...

... weekend, holiday, and/or night work to ensure our global data centers are operating at the highest levels of reliability for our customers. All candidates should be willing to work both independently ...

Showing results 21-40

Weekend Data information

See Virginia salary details

$9

$18

$45

How much do weekend data jobs pay per hour?

As of Sep 8, 2026, the average hourly pay for weekend data in Virginia is $18.82, according to ZipRecruiter salary data. Most workers in this role earn between $13.09 and $18.94 per hour, depending on experience, location, and employer.

What is a weekend data?

Weekend Data jobs refer to positions that involve working with data—such as data entry, analysis, or reporting—specifically during weekends. These roles are often part-time and may appeal to students, professionals seeking extra income, or those with weekday commitments. Weekend Data jobs can be found in industries like retail, healthcare, and IT, where data needs to be processed continuously. Common responsibilities include managing databases, cleaning data, and generating reports. Working these hours may also offer flexible scheduling or remote work opportunities.

What are the main responsibilities and challenges of working as a weekend data?

As a Weekend Data Analyst, your primary responsibilities include collecting, cleaning, and analyzing data to provide insights for decision-making, often focusing on time-sensitive projects or monitoring systems that require weekend support. A common challenge in this role is managing tight deadlines and ensuring data accuracy with limited weekday resources or support. You may work independently or as part of an on-call rotation, collaborating remotely with teams to deliver timely reports or troubleshoot issues. This position offers valuable experience for those seeking to build expertise in fast-paced analytics environments and demonstrates reliability for future advancement.

What are the key skills and qualifications needed to thrive as a weekend data, and why are they important?

To thrive as a Weekend Data Analyst, you need strong analytical skills, proficiency in data interpretation, and typically a degree in statistics, mathematics, or a related field. Familiarity with data analysis tools like Excel, SQL, Python, or BI platforms, and sometimes relevant certifications, is commonly required. Attention to detail, time management, and effective communication are crucial soft skills for managing weekend workloads and sharing insights with stakeholders. These competencies ensure accurate, timely analysis and actionable reporting even within limited weekend hours.

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

AspectWeekend DataWeekend Data Analyst
Required CredentialsTypically a background in data management or related certificationsSame as Weekend Data, often requiring data analysis certifications or skills
Work EnvironmentPart-time or weekend-focused data management rolesPart-time or weekend-focused data analysis tasks, often in office or remote settings
Employer & Industry UsageUsed in industries needing weekend data processing, like retail or logisticsUsed in industries requiring weekend data insights, such as marketing or e-commerce

Weekend Data and Weekend Data Analyst roles share similar credentials and work environments, focusing on weekend or part-time data tasks. The main difference lies in the job focus: data management versus data analysis. Both roles serve industries that need weekend data support, but the analyst role emphasizes interpreting data to inform decisions.

What are the most commonly searched types of Data jobs in Virginia?

The most popular types of Data jobs in Virginia are:

Infographic showing various Weekend Data job openings in Virginia as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $39,139 per year, or $18.8 per hour.

Data Scientist

Whitespace

Alexandria, VA • On-site, Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 11 days ago


Key responsibilities

  • Collect and analyze statistics and information from multiple sources to identify trends and provide insights to the client.

  • Collaborate with engineering and research teams to develop, refine, and scale data management and analytics procedures and systems.

  • Deliver data products within a 24 to 72-hour turnaround to support various missions such as humanitarian assistance, disaster relief, and operational activities.


Job description

At GeoDelphi Inc., we harness the power of commercial data to drive innovation and deliver cutting-edge solutions. As pioneers in the geospatial industry, our Agentic AI Platform, Iris, accelerates speed-to-answer with powerful analytics, high-cadence data feeds, and expert-machine teaming. Join us in transforming data into actionable intelligence that keeps pace with world events. Learn more about our mission at www.inthewhitespace.com.
We are seeking an experienced Data Scientist to deliver critical insights to our customer, TacSRT. The Tactical Surveillance, Reconnaissance, and Tracking (TacSRT) program leverages commercial satellite imagery and advanced analytics to provide timely situational awareness and operational planning products to combatant commanders. Your expertise will help support this mission by uncovering hidden activities within non-pixel data and delivering actionable information. Our ideal team member will have mathematical and statistical expertise as well as an inquisitive and creative mind. As you mine, interpret, and clean the data, we will rely on you to ask questions, connect the dots, and uncover opportunities for TacSRT and their mission. In this role, you will collaborate closely with the TacSRT team, contributing to a shared vision and making a tangible impact on national security and operational effectiveness.
On Call: There may be occasional weekend requests from the client. Our team member must be willing to be on call for weekend requirements.
The candidate MUST be a US citizen and reside in the contiguous United States. The candidate must be a W2 employee of GeoDelphi, Inc. No 3rd party applications.
Requirements
RESPONSIBILITIES
  • Collect and analyze statistics and information from multiple sources to identify trends and gain maximum insight that can give the client a competitive advantage and communicate informed conclusions and recommendations across an organization's leadership structure.
  • Strategize and identify unique opportunities to locate and collect new data.
  • Explore and mine data from many angles and determine what it means.
  • Communicate data findings to the customer to provide critical information that will assist their approach and meet the business challenges of an evolving customer base and changing marketplace, using strong business acumen.
  • Collaborate with the engineering and research & development teams to develop, refine, and scale data management and analytics procedures, systems, workflows, best practices, and other issues.
  • Identify and recommend new uses for existing data sources; design, modify, and build new data processes.
  • Implement new or enhance existing software designed to access and handle data more efficiently.
  • Conduct scalable data research on and off the cloud.
  • Build large and complex data sets.
  • Deliver products within a 24 to 72-hour turnaround to support missions such as Humanitarian Assistance and Disaster Relief, Economic Crisis, IUU-F fishing, etc.

EXPERIENCE
  • A minimum of 5 years of experience in data science with a focus on geospatial data analysis.
  • Conducts statistical modeling and experimental design, tests, and validates predictive models.
  • Experience with data visualization tools to deliver interactive, mission-critical products to internal and external stakeholders and clients.
  • Proven experience in supporting military tactical operations.
  • Demonstrated ability to perform effectively in high operational environments.
  • Experience with non-pixel, non-semantic sensor data (e.g., AIS, ADS-B, ADINT, etc.).

DESIRED SKILLS
  • Experience with Geographic Information Systems such as QGIS or ArcPro
  • Experience with Python geospatial data analysis tools such as GeoPandas
  • Knowledge and experience with intelligence, collection management, targeting, Geospatial and/or imagery analysis.
  • Specialized training from any intelligence collection and analysis school or certification to include GEOINT Professional Certification, Activity-Based Intelligence Certification.

Benefits
GEODELPHI BENEFITS
  • Medical, Dental, and Vision plans
  • Unlimited PTO
  • Federal Holiday Paid Leave
  • 12 weeks of paid Parental Leave
  • Employer-Paid STD/LTD
  • Employer Paid Life Insurance
  • 401K plan and Employer Match
  • Professional Development Assistance
  • Equity Incentive Plan

Who we are:
GeoDelphi, Inc. dba Whitespace is building an Agentic AI, Iris, for global leaders. Recognized as the most innovative company in the Geospatial Industry, Whitespace exponentially accelerates speed-to-answer with powerful analytics, high-cadence data feeds, and human expert-machine teaming. Our answers are rooted in truth data about human activity, delivering reliable decision advantage that keeps pace with world events. Whitespace is headquartered in Alexandria, Virginia. For further information, visit: http://www.inthewhitespace.com.
GeoDelphi Inc.. is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, creed, sex, sexual orientation, pregnancy, gender identity, national origin, disability, or Veteran status.