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Data Manipulation Jobs in Virginia (NOW HIRING)

... data manipulation libraries (Pandas, NumPy) and data engineering best practices. • Demonstrated experience understanding data security, privacy, governance, and compliance principles. • ...

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 ...

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 ...

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 ...

Data Engineer

Sterling, VA

$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 ...

Data Scientist - Mid

Fort Belvoir, VA · On-site

$120K - $155K/yr

Apply scripting, data manipulation, data cleaning, data transformation, and automation techniques to support analysis and visualization. * Work with data from multiple systems, databases ...

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.

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Data Manipulation information

See Virginia salary details

$33.7K

$81.9K

$134.8K

How much do data manipulation jobs pay per year?

As of Jun 28, 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 jobs pay 500,000 a year in the US?

In data manipulation roles, high-paying positions such as senior data scientists, data engineers, or analytics directors can reach or exceed $500,000 annually, especially in large corporations or tech firms. These roles typically require advanced skills in programming, data modeling, and experience with tools like SQL, Python, or cloud platforms, often combined with leadership responsibilities and advanced degrees.

What jobs make $1,000,000 a year?

In data manipulation roles, high salaries reaching or exceeding $1,000,000 annually are rare and typically found in executive positions such as Chief Data Officer or Chief Technology Officer, especially in large corporations. These roles require extensive experience, advanced skills in data management, leadership, and often involve stock options or bonuses that contribute to total compensation. Most data manipulation jobs offer salaries well below this threshold, with top-tier executives earning the highest compensation packages.

What does data manipulation do?

Data manipulation involves adjusting, organizing, and transforming data to make it suitable for analysis or reporting. Data analysts and data manipulation specialists use tools like Excel, SQL, or Python to clean, filter, and restructure data sets efficiently.

What jobs pay 200,000 a year in the USA?

Data manipulation roles such as data scientists, data engineers, and senior data analysts can earn $200,000 or more annually, especially with experience, advanced skills in programming languages like Python or R, and proficiency with data tools and cloud platforms. These positions often require strong analytical skills, a relevant degree, and sometimes certifications, and are typically found in industries like finance, technology, and consulting.

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.

Infographic showing various Data Manipulation job openings in Virginia as of June 2026, with employment types broken down into 96% Full Time, 1% Part Time, and 3% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $81,931 per year, or $39.4 per hour.

Data Analyst

STI

Charlottesville, VA • On-site

Full-time

Posted 16 days ago


Job description

Job Title: Data Analyst
Location: Charlottesville, VA 22902
Duration: 12+ Months
8am to 4.30pm
Description:
Data Analyst needed to create and customize SSRS reports, analyze, clean and load SQL data for migration project, and create Business Intelligence reports and dashboards.
Mgr agrees to initial Virtual IVs but reserves the option to request an IN PERSON IV if needed.
The selected candidate must be able to work IN PERSON (ON SITE) for the first full week (5 days) of the engagement-- then a minimum of one day a week ON SITE thereafter REQUIRED. The candidate must have access to broadband internet and a home office free from distractions to qualify for remote work. The candidate can optionally work in person if preferred. Pls do not submit if they cannot agree to this arrangement.
Additional in-person days may be necessary for meetings with clients.
Parking is free at our facilities.
The employee cannot have billable hours on our government holidays.
Must work independently or as part of a small team on projects.
Years of Experience: 4-6
Days on Site per week: 1-2
Day to day responsibilities
Initial workload will be heavily focused on creation of SSRS reports, utilizing mockups provided by a configuration team to customize standard vendor provided reports.
Working on ETL processes to clean and load data to on-prem and cloud databases, SQL Server scripting and querying, and Business Intelligence report creation are other likely duties.
The Data Analyst will work with other ACIT team members, department stakeholders, vendors, and partners in the design, development and implementation of reporting, integration and data analytics solutions.
Required Skills
Expertise in designing, developing, and deploying SSRS reports.
Proficiency with SQL Server
Strong knowledge of SQL for querying relational databases
Experience with complex queries, joins, subqueries, and data manipulation.
Perform data analysis, data profiling, SQL coding/query tuning, data modeling, and data validation
Work and partner with internal stakeholders to develop reports or address data access and visualization needs
Experience in data modeling with strong and demonstratable data management skills
Desired Skills/Experience
Power BI report development
Experience with Azure data warehousing solutions
Experience with Azure ETL (Extract, Transform, Load) processes and tools
Experience with Microsoft Fabric
Proficiency in scripting languages (e.g., Python, PowerShell) for automation and data manipulation.