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Data Manipulation Jobs in Virginia (NOW HIRING)

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 ...

Data manipulation and ETL procedures * Working knowledge of SQL and NoSQL database technologies * Development experience in Python and other languages for data cleaning and manipulation What Would be ...

Data Engineer, Mid

Alexandria, VA · On-site

$122K - $147K/yr

... data manipulation, automation, and pipeline development • Experience with distributed data and computing tools such as Spark or Databricks • Experience developing RESTful APIs in Python to ...

Python, Alteryx, Tableau, Skywise,) for data manipulation, basic analysis, and reporting tasks. * Write and execute data queries using SQL, Python, or other data analysis programming languages.

Developing visualizations and processing complex data to create data-driven insights, Data manipulation and ETL procedures, Working knowledge of SQL and NoSQL database technologies • Development ...

Data manipulation and ETL procedures * Working knowledge of SQL and NoSQL database technologies * Development experience in Python and other languages for data cleaning and manipulation What Would be ...

Data manipulation and ETL procedures * Working knowledge of SQL and NoSQL database technologies * Development experience in Python and other languages for data cleaning and manipulation What Would be ...

To support our NATO customer, SimIS seeks a Senior Data Scientist to apply business and data manipulation principles and methods to technical problems to arrive at automated solutions and support the ...

To support our NATO customer, SimIS seeks a Senior Data Scientist to apply business and data manipulation principles and methods to technical problems to arrive at automated solutions and support the ...

Showing results 41-60

Data Manipulation information

See Virginia salary details

$33.7K

$81.9K

$134.8K

How much do data manipulation jobs pay per year?

As of Aug 15, 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 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.

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 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.

Infographic showing various Data Manipulation job openings in Virginia as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $81,931 per year, or $39.4 per hour.

Data Engineer Senior Analyst

Accenture Federal Services

Arlington, VA • On-site

$99K - $125K/yr

Full-time

Re-posted 22 days ago


Accenture Federal Services rating

8.7

Company rating: 8.7 out of 10

Based on 20 frontline employees who took The Breakroom Quiz

47th of 492 rated business services


Job description

Job Summary:
Accenture Federal Services is dedicated to helping the US federal government enhance national strength and safety. The Data Engineer Senior Analyst will be a key contributor to the team responsible for building and maintaining data pipelines, supporting the development and operation of critical data infrastructure.
Responsibilities:
• Assist in the development and maintenance of ETL/ELT data pipelines using established patterns and tools.
• Utilize reusable pipeline templates and Infrastructure-as-Code (IaC) scripts to deploy data flows consistently and efficiently.
• Support the O&M of existing pipelines by monitoring performance, troubleshooting failures, and responding to alerts.
• Execute data quality checks and assist in the implementation of data validation rules using frameworks like Great Expectations.
• Work with senior team members to test and deploy new pipeline features and optimizations.
• Contribute to the creation and maintenance of technical documentation for data pipelines and processes.
Qualifications:
Required:
• 2+ years of experience in a data-focused role (e.g., data engineering, backend development, database administration).
• Experience with Python and SQL for data manipulation and scripting.
• Familiarity with data engineering concepts, including ETL processes and data warehousing.
• Exposure to cloud environments (e.g., AWS, Azure) and data platforms like Databricks or Snowflake.
• Basic understanding of Agile/Scrum methodologies.
• A strong desire to learn and grow in the data engineering field.
• US Citizenship
• Active TS or TS/SCI clearance
Preferred:
• Experience with Spark/PySpark.
• Familiarity with Infrastructure-as-Code tools like Terraform.
• Exposure to data orchestration tools (e.g., Airflow) or CI/CD pipelines.
• Experience working in a DoD or government environment.
Company:
Accenture Federal Services is a leading US federal services company and subsidiary of Accenture. Founded in 1989, the company is headquartered in Arlington, USA, with a team of 10001+ employees. The company is currently Late Stage.

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