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Data Acquisition Jobs in Virginia (NOW HIRING)

Strategic Data Systems

Senior Data Analyst

Dahlgren, VA

$87K - $110K/yr

Systems development activities include data table/structure design, data acquisition, system specifications, data validation and documentation. Data Analyst support will also include development of ...

Strategic Data Systems

Senior Data Analyst

Dahlgren, VA · On-site

$87K - $110K/yr

Responsibilities include: • Systems development activities include data table/structure design, data acquisition, system specifications, data validation and documentation. • Data Analyst support ...

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 ...

Element Materials Technology

Data Processor

Norfolk, VA · On-site

... acquisition, data verification, data processing, web database, data presentation, update of instrumentation drawings and reporting * Shall be responsible for preparing all necessary reports as ...

Element Materials Technology

Data Processor

Hampton, VA · On-site

... acquisition, data verification, data processing, web database, data presentation, update of instrumentation drawings and reporting * Shall be responsible for preparing all necessary reports as ...

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Showing results 21-40

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 Sep 7, 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 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 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 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 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 interpret large datasets are also important for effective data gathering and quality assurance.

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 64% Full Time, and 36% Contract. Highlights an 100% In-person job distribution, with an average salary of $163,603 per year, or $78.7 per hour.

Senior Data Analyst

Strategic Data Systems

Dahlgren, VA

$87K - $110K/yr

Full-time

Re-posted 24 days ago

Job description

Data Analyst
Dahlgren Naval Surface Warfare Center, Dahlgren, VA
Salary negotiable (Dependent on experience level) - Full Time with Benefits
Flexible Start-Date - Contingent on contract award
 
The Data Analyst is part of a business intelligence and data warehouse team tasked with providing data analysis, data design, systems development, training, and customer support.
 
Responsibilities include:
 
Systems development activities include data table/structure design, data acquisition, system specifications, data validation and documentation.
Data Analyst support will also include development of data interface specifications, on-line query and report specifications, database load specifications, and data validation specifications.
Customer support, including interfacing with customers, trouble shooting, product review and analysis and problem resolution.
 
To qualify, you will need:
 
An Active DOD Secret Security Clearance
High School Diploma and six (6) or more years of experience
Experience with data warehouse development and design, data knowledge acquisition, legacy conversion specifications and design of data structures/load specifications, and knowledge of Working Capital Fund and Enterprise Resource Planning (ERP), financial, and human resources systems methods and strategies for data warehousing.
The ability to apply analytical skills relating to database management and development
Knowledge of relational database management systems and data warehousing
Experience using Cognos Tool Suite to create reports and dashboards
Skill in writing and analyzing structured query language (SQL) queries
Experience with requirements developing definition and application designs in the form of logical data models, data interface specifications, on-line query and report specifications, structured query language (SQL), database performance loading specifications, and data validation specifications. 
Ability to communicate effectively orally and in writing for required customer support and requirements gathering and validation
Knowledge of analytical tools and evaluation techniques
Knowledge of government accounting (highly desired: DOD Accounting)
Ability to communicate effectively with all levels of employees and outside contacts
Strong interpersonal skills and good judgment with the ability to work alone or as part of a team
 
 
Strategic Data Systems provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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