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Data Manipulation Jobs in Virginia (NOW HIRING)

Required : • Proficiency in data manipulation tools (e.g., Python, R) • Experience with machine learning techniques • Strong statistical analysis skills • Knowledge of data visualization ...

Data Engineer - Sr

Charlottesville, VA · On-site

$120 - $170/hr

... data manipulation, data analysis, or data modeling * Experience creating and integrating code for retrieving, parsing, and processing data across multiple systems or applications * Experience ...

Data Engineer - Sr

Charlottesville, VA · On-site

$109K - $131K/yr

... for data manipulation, data analysis, or data modeling * ​Experience creating and integrating code for retrieving, parsing, and processing data across multiple systems or applications ...

Data Engineer - Sr

Charlottesville, VA · On-site

$109K - $131K/yr

... data manipulation, data analysis, or data modeling * Experience creating and integrating code for retrieving, parsing, and processing data across multiple systems or applications * Experience ...

Sr. Data engineer

Reston, VA · On-site

$119K - $143K/yr

Strong experience in SQL for data manipulation and complex query building. * Hands-on experience with AWS Lambda for serverless data processing. * Experience building ETL pipelines using AWS Glue.

... data manipulation libraries (e.g., Pandas, NumPy). • Hands-on experience with machine learning frameworks (e.g., scikit-learn, TensorFlow, PyTorch). • Solid understanding of statistical modeling ...

AWS Data Engineer

Richmond, VA · On-site

$113K - $136K/yr

Proficiency in SQL for data manipulation and querying. * Experience with distributed computing frameworks like Hadoop and Spark. * Strong understanding of cloud computing principles and experience ...

Senior Data Analyst

Quantico, VA · On-site

$91K - $114K/yr

Proficiency in data manipulation and visualization using spreadsheets and related tools Certifications (Preferred) One or more relevant industry certifications, such as: * CompTIA Cloud Essentials ...

Data Analyst

Mclean, VA · On-site

$70 - $90/hr

Perform data extraction, storage, manipulation, processing, and analysis * Collect, profile, collate, and map appropriate data for usage in new or existing solutions as well as for ongoing data ...

Senior Data Analyst

Quantico, VA

$91K - $114K/yr

Proficiency in data manipulation and visualization using spreadsheets and related tools Certifications (Preferred) One or more relevant industry certifications, such as: * CompTIA Cloud Essentials ...

Perform data extraction, storage, manipulation, processing, and analysis * Collect, profile, collate, and map appropriate data for usage in new or existing solutions as well as for ongoing data ...

Perform data extraction, storage, manipulation, processing, and analysis * Collect, profile, collate, and map appropriate data for usage in new or existing solutions as well as for ongoing data ...

Perform data extraction, storage, manipulation, processing, and analysis * Collect, profile, collate, and map appropriate data for usage in new or existing solutions as well as for ongoing data ...

Showing results 21-40

Data Manipulation information

See Virginia salary details

$33.7K

$81.9K

$134.8K

How much do data manipulation jobs pay per year?

As of Sep 4, 2026, the average yearly pay for data manipulation in Virginia is $81,931.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,000.00 and $96,200.00 per year, depending on experience, location, and employer.

What is a data manipulation?

A Data Manipulation job involves processing, organizing, and transforming raw data to make it more usable for analysis and decision-making. Professionals in this role use tools like SQL, Python, or Excel to clean, structure, and modify data. Their tasks may include merging datasets, removing duplicates, correcting errors, and optimizing data storage. This role is critical in industries that rely on accurate and well-structured data for reporting, analytics, and business intelligence.

What does a data manipulation do?

In a Data Manipulation role, you can expect to spend your days cleaning, transforming, and organizing raw data to ensure its accuracy and usability for reporting or analysis. Responsibilities often include writing scripts to automate data workflows, identifying and correcting inconsistencies, integrating data from multiple sources, and collaborating closely with data analysts and business teams. You may also be tasked with creating documentation to track data changes and establishing protocols for data quality assurance. This hands-on work is crucial for delivering high-quality, actionable data that supports organizational objectives.

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

To excel in Data Manipulation roles, candidates generally need strong analytical skills, proficiency in data processing, and a relevant degree in computer science, statistics, or a related field. Experience with tools such as SQL, Python, R, Excel, and data visualization platforms, along with certifications like Microsoft Certified: Data Analyst Associate, are frequently expected. Attention to detail, problem-solving abilities, and effective teamwork are key soft skills that enhance performance in this position. These combined competencies ensure clean, reliable datasets that drive accurate business insights and data-driven decision-making.

Infographic showing various Data Manipulation 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 $81,931 per year, or $39.4 per hour.

Full-time

Re-posted 3 hours ago


Job description

Job Summary:
Cymertek Corporation is a growing small business and trusted federal contractor focused on information technology and cybersecurity. They are seeking a talented Data Scientist to analyze, model, and transform data into actionable solutions, collaborating with cross-functional teams to drive data-informed decision-making.
Responsibilities:
• Analyze and interpret complex data
• Develop predictive models
• Communicate data findings clearly
• Design and implement algorithms
• Ensure data quality and integrity
• Collaborate with cross-functional teams
Qualifications:
Required:
• Proficiency in data manipulation tools (e.g., Python, R)
• Experience with machine learning techniques
• Strong statistical analysis skills
• Knowledge of data visualization tools (e.g., Tableau, Power BI)
• Familiarity with big data technologies (e.g., Hadoop, Spark)
• Experience with data cleaning and preprocessing
• Bachelor's Degree in Computer Science, Data Science, Statistics, Mathematics, Applied Mathematics, Engineering, Economics, Physics, Operations Research, Information Technology, etc.
• TS/SCI Full Poly clearance
• Full U.S. Citizenship
Preferred:
• Experience with cloud platforms (e.g., AWS, GCP)
• Knowledge of deep learning techniques
• Expertise in natural language processing (NLP)
• Understanding of database management systems
• Experience in deploying models to production
• Strong problem-solving and critical thinking abilities
Company:
With headquarters in Maryland, Cymertek [/'sī-mer-tek/] Corporation provides superior consulting services for the implementation of high quality information systems. Founded in 2010, the company is headquartered in Laurel, USA, with a team of 11-50 employees. The company is currently Early Stage.