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Data Manipulation Jobs (NOW HIRING)

TechYantram Solutions

Data Scientist

Boston, MA · On-site

Experience with SQL for data manipulation and querying. * Knowledge of Pandas, NumPy, and Scikit-learn for data processing and machine learning. Preferred Skills: * Experience with TensorFlow or ...

Touro University

Data Analyst

Valhalla, NY

$32 - $40/hr

Experience in statistical analysis and data manipulation. * Proficiency in statistical software such as Stata, SAS, R, and SPSS. * Effective communication and collaboration skills. * Ability to work ...

New York Medical College

Data Analyst

Valhalla, NY

$40/hr

Experience in statistical analysis and data manipulation. * Proficiency in statistical software such as Stata, SAS, R, and SPSS. * Effective communication and collaboration skills. * Ability to work ...

New York Medical College

Data Analyst

Valhalla, NY · On-site

$32 - $40/hr

Experience in statistical analysis and data manipulation. * Proficiency in statistical software such as Stata, SAS, R, and SPSS. * Effective communication and collaboration skills. * Ability to work ...

1 point system

Data Scientist

Redmond, WA · On-site

Work with senior management, technical and client teams in order to determine data requirements, business data implementation approaches, best practices for advanced data manipulation, storage and ...

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 ...

Real Soft, Inc.

Data Scientist

San Antonio, TX · On-site

Strong experience with Python (data manipulation, scripting, analytics) * Experience working with SQL databases (Postgres preferred) * Experience with data extraction, transformation, and preparation ...

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Data Manipulation information

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$34K

$82.6K

$136K

How much do data manipulation jobs pay per year?

As of Jul 21, 2026, the average yearly pay for data manipulation in the United States is $82,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $97,000.00 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.

More about Data Manipulation jobs
What are the most commonly searched types of Data Manipulation jobs? The most popular types of Data Manipulation jobs are:
What states have the most Data Manipulation jobs? States with the most job openings for Data Manipulation jobs include:
What job categories do people searching Data Manipulation jobs look for? The top searched job categories for Data Manipulation jobs are:
Data Manipulation jobs near you
Infographic showing various Data Manipulation job openings in the United States as of July 2026, with employment types broken down into 87% Full Time, 5% Part Time, and 8% Contract. Highlights an 81% In-person, 8% Hybrid, and 11% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.
DATA SCIENTIST

DATA SCIENTIST

Ignite Fueling Innovation

San Antonio, TX

Full-time

Re-posted 23 hours ago

Job description

Igniters operate in the world's most demanding environment. Igniters are self-motivated, mission-driven, and relentless in solving the Warfighters' hardest problems. We move fast, think differently, and execute with precision to tackle high-stakes challenges across AI/ML, space and missile defense intelligence, EMSO, advanced analytics, and programmatic domains.

As an employee-owned SDVOSB headquartered in Huntsville, AL, our team delivers mission-critical impact for the Army, Air Force, Space Force, MDA, NASA, DIA, and FBI. Ignite exists to outpace the threat and deliver results that matter in the moments that count. Ignite is seeking an experienced Data Scientist to support data analytics, machine learning, and EMS data refinement in support of the Joint Electromagnetic Warfare Center (JEWC).

This position focuses on refining, integrating, and presenting EMS data from multiple sources, developing machine-readable export capabilities, and creating dynamic software models to enhance electromagnetic spectrum operations. Key Responsibilities: Lead efforts to refine and validate data housed in the EMS repository by identifying and addressing informational gaps, correcting errors, and ensuring data consistency and accuracy. Structure EMS data in a hierarchical format, linking unit, platform, and equipment EMS parameters to ensure operational relevance.

Develop and document data integration and gap analysis processes in compliance with DoDI 8320.02 and applicable DoD data governance standards. Enable EMS data export in machine-readable formats such as JSON or through APIs, ensuring proper documentation of export functionality and adherence to dissemination controls. Develop and validate dynamic software models of EMS systems with both geospatial and non-geospatial representations

Provide documentation detailing data sources, model development, validation processes, and system integration activities. Collaborate with technical teams, engineers, and operational SMEs to ensure EMS data products meet mission needs.Qualifications: Active Top Secret/SCI Clearance. Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, or a related field

Minimum of 8 years of experience in data science, analytics, or related disciplines. Minimum of 5 years of experience with software development lifecycle and methodologies. Proficiency in programming languages such as Python, R, or SQL.

Strong knowledge of statistical analysis, machine learning algorithms, and data manipulation techniques. Experience developing data models and integrating data from multiple sources. Preferred Skills: Experience with EMS data or military electronic warfare systems.

Familiarity with DoD data governance and security policies, including DoDI 8320.02. Experience delivering data solutions for military or government customers.Qualifications: Active Top Secret/SCI Clearance. Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, or a related field

Minimum of 8 years of experience in data science, analytics, or related disciplines. Minimum of 5 years of experience with software development lifecycle and methodologies. Proficiency in programming languages such as Python, R, or SQL.

Strong knowledge of statistical analysis, machine learning algorithms, and data manipulation techniques. Experience developing data models and integrating data from multiple sources. Preferred Skills: Experience with EMS data or military electronic warfare systems.

Familiarity with DoD data governance and security policies, including DoDI 8320.02. Experience delivering data solutions for military or government customers.

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