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Data Manipulation Jobs in Virginia (NOW HIRING)

Nightwing

Data Engineer

Sterling, VA · On-site

$113K - $136K/yr

Proficiency in writing and executing SQL queries for data manipulation and analysis. • Data Modeling: Understanding of data modeling principles and ability to design data structures that meet ...

NALLEY CONSULTING

Data Engineer - Sr

Charlottesville, VA · On-site

$107K - $128K/yr

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

Inteliblue

SQL Data Cleanup Specialist

Richmond, VA · On-site

Minimum 5 years of hands-on experience in SQL Server SQL development, including writing complex queries, data manipulation statements, stored procedures, and tuning * Knowledge of indexing, query ...

Nightwing

Data Engineer

Sterling, VA · On-site

$122K - $253K/yr

Proficiency in writing and executing SQL queries for data manipulation and analysis. * Data Modeling: Understanding of data modeling principles and ability to design data structures that meet ...

Cymertek Corporation

Data Scientist

Reston, VA · On-site

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

Nwis

Data Engineer

Sterling, VA · On-site

$122K - $253K/yr

Proficiency in writing and executing SQL queries for data manipulation and analysis. * Data Modeling: Understanding of data modeling principles and ability to design data structures that meet ...

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All JobsData Manipulation JobsData Manipulation Jobs in Virginia

Data Manipulation information

See Virginia salary details

$33.7K

$81.9K

$134.8K

How much do data manipulation jobs pay per year?

As of Jul 24, 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 are the key skills and qualifications needed to thrive in the Data Manipulation position, 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.

What are some typical daily tasks involved in a Data Manipulation role?

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 is a Data Manipulation job?

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 are popular job titles related to Data Manipulation jobs in Virginia? For Data Manipulation jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Data Manipulation jobs in Virginia look for? The top searched job categories for Data Manipulation jobs in Virginia are:
Data Manipulation jobs near you
Infographic showing various Data Manipulation job openings in Virginia as of July 2026, with employment types broken down into 85% Full Time, 8% Part Time, and 7% Contract. Highlights an 79% In-person, 9% Hybrid, and 12% Remote job distribution, with an average salary of $81,931 per year, or $39.4 per hour.
AWS Data Engineer - Reston, VA(Onsite)

AWS Data Engineer - Reston, VA(Onsite)

Sage IT Inc

Reston, VA • On-site

$119K - $143K/yr

Other

Posted 10 days ago

Job description


Role: AWS Data Engineer
Location: Reston,VA (Onsite)

Qualifications (Data Engineer/ Python Developer)

  • 10+ years hands-on Python development experience for big data application.
  • Extensive working experience in implementing scalable and efficient data processing pipelines using big data technologies, such as Hadoop/EMR, Spark, Hive.
  • Strong development experience in AWS platforms/services such as Lambda, Eventbridge, Step Functions, Redshift, S3, Glue.
  • Extensive hands-on development experience in making API calls, SQL queries, data manipulation/transformation, analysis and visualization.
  • Strong experience in data analysis/mining, hands-on experience on analyzing large datasets and extracting meaningful insights.
  • Solid understanding and hand-on implementation experience in CI/CD pipeline. Familiar with tools such as Gitlab/Terraform.
  • Critical thinking and strong analytical skills to drive solutions, alternative plans, and conclusions
  • Collaborates effectively and forms positive partnerships with team members in groups and levels across a matrixed organization
  • Possess strong analytical and problem-solving skills

Skills:

  • Required 10+ years of Python development experience for big data application
  • Required 5+ years of development experience in AWS platforms/services such as EMR, Lambda, Eventbridge, Step Functions, Redshift, S3, Glue
  • Required 5+ years of development experience in making API calls, SQL queries, Spark, data manipulation/transformation, analysis and visualization
  • Hands on experience with CI/CD pipeline tools such as Gitlab/Terraform

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