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Remote Data Acquisition Jobs in Virginia (NOW HIRING)

Data Scientist

Chantilly, VA · On-site +1

$200K - $240K/yr

None Potential for Remote Work: ORA_ON_SITE Description  SAIC is hiring a Data Scientist to ... oversees the acquisition and lifecycle management of systems from inception to deployment and ...

Principal Electrical Systems Engineer

Herndon, VA · On-site +1

$142K - $174K/yr

... remote sensing technologies for demanding spaceflight applications. This position is ideal for an ... electronics, data acquisition systems, signal conditioning, and system interconnects. Lead ...

SAP Data Migration Lead

Ashburn, VA · On-site +1

$125K - $167K/yr

Remote, US Salary Range: $125,300 - 167,000 Please note that the salary range information provided ... Agency partners must be invited to participate in a search by our Talent Acquisition Team and have ...

Data Scientist

Alexandria, VA · On-site +1

$99K - $225K/yr

Remote Work: No Job Number: R0241418 Location: Alexandria,VA,US Share job via: Share Data Scientist ... Ability to advise clients on the acquisition of data, data management, and data infrastructure

Data Scientist

Chantilly, VA · On-site +1

$99K - $225K/yr

Remote Work: No Job Number: R0246129 Location: Chantilly,VA,US Share job via: Share Data Scientist ... Ability to advise clients on the acquisition of data, data management, and data infrastructure

Lidar Calibration Analyst

Fairfax, VA · On-site +1

$55K - $71K/yr

Remote positions will be considered dependent on experience. This is an excellent career ... Quality checks on data post acquisition * Airborne and/or mobile trajectory processing * Processing ...

Showing results 21-40

Remote Data Acquisition information

What is remote data acquisition?

Remote data acquisition jobs involve collecting, monitoring, and analyzing data from various sources without being physically present on-site. Professionals in this field use specialized software, devices, and communication networks to access real-time or stored data from remote locations. These roles are common in industries like environmental monitoring, energy, manufacturing, and IT, where sensors or systems transmit data to centralized platforms. Responsibilities often include configuring data acquisition systems, ensuring data quality, troubleshooting connectivity issues, and reporting findings to stakeholders.

What are the key skills and qualifications needed to thrive as a remote data acquisition specialist?

To thrive as a Remote Data Acquisition Specialist, you need a strong background in data collection methodologies, analytical skills, and experience with data management, often supported by a degree in computer science, information systems, or a related field. Proficiency with data acquisition tools, APIs, web scraping technologies, and familiarity with database systems like SQL are typically required. Attention to detail, problem-solving skills, and effective remote communication are valuable soft skills for this role. These competencies ensure accurate data gathering, efficient workflow, and reliable collaboration with distributed teams.

What are some common challenges faced by professionals in remote data acquisition roles, and how can they be managed?

Professionals in remote data acquisition often face challenges such as ensuring data accuracy from decentralized sources, maintaining secure data transmission, and managing technical issues without on-site support. To overcome these, it's important to establish clear data validation protocols, use reliable remote monitoring tools, and maintain regular communication with both technical and non-technical team members. Building strong documentation habits and participating in virtual training sessions can also help address these challenges effectively.

What is the difference between Remote Data Acquisition vs Remote Data Collection?

AspectRemote Data AcquisitionRemote Data Collection
Primary FocusGathering data from various sources, often involving specialized tools and technical processesCollecting data directly from individuals or sources, often through surveys or forms
Required SkillsTechnical skills, data analysis, familiarity with data acquisition toolsCommunication skills, survey design, data entry
Work EnvironmentTechnical settings, remote or on-site labs, fieldworkRemote, office, or field environments
Common IndustriesResearch, engineering, data servicesMarket research, social sciences, healthcare

Remote Data Acquisition involves technical processes to gather data from various sources, often requiring specialized skills. In contrast, Remote Data Collection focuses on gathering data directly from individuals or sources, typically through surveys or forms. Both roles are essential in data-driven industries but differ in methods and skill requirements.

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

The most popular types of Data Acquisition jobs in Virginia are:

What are popular job titles related to Remote Data Acquisition jobs in Virginia?

For Remote Data Acquisition jobs in Virginia, the most frequently searched job titles are:

What cities in Virginia are hiring for Remote Data Acquisition jobs?

Cities in Virginia with the most Remote Data Acquisition job openings:

Data Scientist

SAIC

Chantilly, VA • On-site, Remote

$200K - $240K/yr

Full-time

Re-posted 22 days ago


SAIC rating

7.9

Company rating: 7.9 out of 10

Based on 79 frontline employees who took The Breakroom Quiz

79th of 224 rated it services


Job description

Job ID: T2601217

Location: Chantilly, VA, US

Date Posted: 2026-03-05

Category: Engineering and Sciences

Subcategory: Modeling/Sim Engr

Schedule: Full-Time

Shift: Day Job

Travel: No

Minimum Clearance Required: TS.SCI_wPoly

Clearance Level Must Be Able to Obtain: None

Potential for Remote Work: ORA_ON_SITE


Description



SAIC is hiring a Data Scientist to deliver Systems Engineering Technical Advisor (SETA) support a program based in Chantilly, VA. This role will contribute to the National Reconnaissance Office's (NRO) Ground Enterprise Directorate (GED), which oversees the acquisition and lifecycle management of systems from inception to deployment and operations.

As the Data Scientist you will support the analysis of complex data to drive strategic mission efforts. The role supports the resolution of operational and systems problems into data-driven solutions, guides analytic strategy, and advises leadership on mission impact, model risk, and data-informed tradeoffs.

Job Responsibilities to include:

  • Supports designing and managing data sets to ensure efficient data flow and interoperability with existing and emerging programs.
  • Supports the collection and integration of large, complex data sets that meet cross-organizational requirements.
  • Evaluates data quality, reliability, and efficiency throughout the data lifecycle.
  • Collaborating with other data scientists, software developers, operators, project managers, and clients to prepare data for predictive modeling.
  • Documents internal process improvements to optimize data delivery and automate manual processes.
  • Supports testing and validation procedures to ensure operational platforms function correctly, including the ability to gather user feedback, identify issues, conduct updates, and perform routine quality assurance checks.
  • Supports the development of essential technical documentation for reference and reporting, which includes documenting processes, system specifications, and modifications.
  • Supports data compliance with regulations, develop guidance, and promote ethical use of developed platforms, data repositories, and relevant technical records.

Qualifications



Required Education and Experience:

  • Bachelors and nine (9) years or more experience; Masters and seven (7) years or more experience ; PhD or JD and four (4) years or more experience. Relevant experience to be substituted in lieu of degree. 
  • 5+ years of experience in software engineering with IC, DoD, and/or commercial space architectures, systems, and/or operations.
  • Hands-on practical experience with data analytics, machine learning, and statistical methods.
  • Experience in applying modern techniques in artificial intelligence (AI), data science, machine learning (ML), or statistics.
  • Demonstrated high level of initiative, creative problem-solving, and critical thinking.
  • Demonstrated capability and success working in team environments.
  • Strong oral and written communications ability on significant technical matters often requiring coordination within a high tempo environment.
  • Good working knowledge of MS Office applications.

Target salary range: $200,001 - $240,000. The estimate displayed represents the typical salary range for this position based on experience and other factors.

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