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Data Manipulation Jobs (NOW HIRING)

Stellar IT Group

Data Analyst

Saint Louis, MO · On-site

Support data manipulation, reporting, and downstream data consumption * Collaborate with stakeholders to understand data requirements and usage Required Qualifications * Bachelor's degree (Master ...

SmartIT Frame

AWS Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

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 ...

Jobtailor

NY · On-site

$90 - $120/hr

Perform data manipulation, automation, and reproducible analyses using R, including Shiny, Python, and SQL * Create scripts and pipelines to streamline routine processes * Apply data visualization ...

Smart IT Frame

AWS Data Engineer

Atlanta, GA · On-site

$80K - $120K/yr

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 ...

Centraprise LLC

AWS Data Engineer

Alpharetta, GA · On-site

$100K - $120K/yr

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 ...

ClifyX

Senior Specialist - Data Engineering

Chicago, IL · On-site

$109K - $148K/yr

The role requires proficiency in Snowflake and Azure, along with strong SQL and Python skills for data manipulation and automation, and involves leading technical teams to project success.

StaffingSoft Inc.

Data Analyst

Irving, TX

Strong background in data creation, manipulation and analysis. * Familiar with generalized linear model procedures. * Experience in marketing research, direct marketing and/or marketing analytics.

Jobtailor

IT Data Operations Intern

Manhattan, NY · On-site

$70 - $110/hr

Experiment with approved AI tools and advanced Excel techniques for data manipulation, audit trails, and quality tracking. * Maintain an audit log and status dashboard of cleanup progress to present ...

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How much do data manipulation jobs pay per year?

As of Aug 30, 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 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.

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What states have the most Data Manipulation jobs?

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Data Manipulation jobs near you
Infographic showing various Data Manipulation job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.

Data Analyst

Saint Louis, MO • On-site

Stellar IT Group
See more jobs at Stellar IT Groupexternal

Contractor

Re-posted 5 days ago

Job description

Overview:
Job Title: Data Analyst
Job Location: Remote
Interview: Virtual
Job Duration: 6 Months Contract
Overview:
We are seeking a Data Analyst with strong SQL and Python expertise to support data validation, data quality, and exploratory data analysis. This role focuses on ensuring data is accurate, reliable, and structured for downstream analytics and reporting.
Note: This is not a Data Engineer role. Candidates must have a strong analytics and data validation background.
Key Responsibilities
  • Perform data validation and quality checks using SQL and Python
  • Conduct exploratory data analysis (EDA) to identify trends, anomalies, and insights
  • Analyze data structures, relationships, and lineage to ensure data integrity
  • Ensure data is usable, consistent, and reliable for analytics, BI, and business teams
  • Support data manipulation, reporting, and downstream data consumption
  • Collaborate with stakeholders to understand data requirements and usage

Required Qualifications
  • Bachelor's degree (Master's or PhD preferred)
  • 5+ years of relevant Data Analyst experience
  • Strong hands-on experience with SQL and Python (data validation, not just querying)
  • Deep understanding of data structures and data lifecycle, including:
    • Data shape, relationships, and storage
    • Data quality, consistency, and lineage
    • Ensuring data reliability for analytics and reporting
  • Experience with exploratory data analysis (EDA)
  • Experience with data manipulation and reporting

Preferred Qualifications
  • Experience with BI tools (Power BI preferred)
  • Healthcare domain experience (payer/provider, clinical, insurance, or operational data)
  • Experience with Databricks and/or PySpark

Skills:
Data Analyst,pYTHON

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