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Data Acquisition Jobs in Virginia (NOW HIRING)

VTG

Data Engineer

Chantilly, VA · On-site

$140K - $195K/yr

... acquisition, data prep, and database architecture * Experience with data engineering projects supporting data science, AI/ML implementations, and Business Intelligence dashboards * Experience with ...

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All JobsData Acquisition JobsData Acquisition Jobs in Virginia

Data Acquisition information

See Virginia salary details

$45.6K

$163.6K

$241.4K

How much do data acquisition jobs pay per year?

As of Aug 10, 2026, the average yearly pay for data acquisition in Virginia is $163,603.00, according to ZipRecruiter salary data. Most workers in this role earn between $132,400.00 and $168,500.00 per year, depending on experience, location, and employer.

What skills are needed for data acquisition?

Data acquisition professionals need strong analytical skills, attention to detail, and proficiency with data collection tools and software such as SQL, Excel, or specialized data management systems. Knowledge of data privacy regulations and the ability to work with large datasets are also important for effective data gathering and management.

What does a data acquisition do?

A typical day in Data Acquisition involves sourcing data from various internal and external sources, ensuring data quality and consistency, and troubleshooting ingestion issues. Professionals in this role frequently collaborate with data scientists and analysts to define data requirements and prepare datasets for analysis. You may also work closely with IT and business stakeholders to ensure data privacy and compliance standards are met. The pace can vary depending on project deadlines, but problem-solving and continual learning are expected parts of the role.

What is a data acquisition?

A Data Acquisition job involves collecting, processing, and managing data from various sources to ensure accuracy and usability. Professionals in this role work with sensors, databases, and software tools to gather real-time or historical data for analysis. They may also develop and maintain data acquisition systems, ensuring seamless data flow. This role is essential in industries like research, engineering, finance, and healthcare, where accurate data is critical for decision-making. Strong analytical skills, technical proficiency, and attention to detail are key for success in this field.

What are the key skills and qualifications needed to thrive in the data acquisition position, and why are they important?

To thrive in Data Acquisition, you need strong analytical abilities, attention to detail, and a background in computer science, data engineering, or a related field. Familiarity with data collection tools, databases, scripting languages (such as Python or SQL), and data integration platforms is highly valuable, and relevant certifications (like CompTIA Data+) can be advantageous. Excellent organizational skills, curiosity, and effective communication enable you to navigate large datasets and collaborate with cross-functional teams. These skills are vital for ensuring accurate, efficient, and compliant gathering of data to support business insights and decision-making.

What is the work of data acquisition?

Data acquisition involves collecting, measuring, and recording data from various sources such as sensors, databases, or online platforms. In this role, professionals often use tools like data collection software and require skills in data analysis and attention to detail to ensure accurate and reliable data gathering for analysis or decision-making.
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 Data Acquisition jobs in Virginia? For Data Acquisition jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Data Acquisition jobs in Virginia look for? The top searched job categories for Data Acquisition jobs in Virginia are:
Data Acquisition jobs near you
Infographic showing various Data Acquisition job openings in Virginia as of August 2026, with employment types broken down into 63% Full Time, 7% Temporary, and 30% Contract. Highlights an 100% In-person job distribution, with an average salary of $163,603 per year, or $78.7 per hour.

Senior Data Modeler (Data Architect) with Security Clearance

Data Intelligence LLC.

Quantico, VA • On-site

Other

Re-posted 19 days ago

Job description

Data Intelligence is seeking an experienced Senior Data Modeler / Data Architect to support mission-critical operations at NCIS Headquarters in Quantico, VA. This role focuses on designing, managing, and optimizing enterprise data models and architectures to support advanced analytics and operational requirements. The ideal candidate will bridge business needs and technical implementation, ensuring data is structured, accessible, and aligned with mission objectives. Key Responsibilities * Develop and maintain conceptual, logical, and physical data models aligned to mission and business requirements * Collaborate with IT teams, data architects, and stakeholders to define and refine data requirements * Translate business needs into scalable and efficient data architectures * Review data processing and data management methods to ensure efficiency, integrity, and performance * Establish and maintain official data definitions, standards, and data lineage documentation * Support database design, implementation, and optimization efforts * Assist in developing strategies for data acquisition, storage, archival, and recovery * Ensure data sets and applications function reliably and meet operational needs * Provide technical oversight and mentorship to junior developers and data staff * Troubleshoot data-related issues and provide system support as needed Required Qualifications * Bachelor's degree in Computer Science or related field * Minimum 10 years of professional experience in data modeling, data architecture, or related disciplines * Strong experience developing conceptual, logical, and physical data models * Experience working with enterprise data environments and large-scale data systems * Ability to translate complex business requirements into technical data solutions * Experience with data governance, data standards, and metadata management * Strong understanding of database design, implementation, and performance optimization * Experience supporting data lifecycle processes including ingestion, storage, archival, and recovery * Strong analytical, problem-solving, and troubleshooting skills * Excellent communication and collaboration abilities across technical and non-technical teams * Active Top Secret / SCI clearance

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