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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 ...

BravoTech

Data Modeller / Engineer II

Houston, TX · On-site

Develop and maintain Python-based solutions for data manipulation, transformation, and analysis. * Work extensively with Pandas, NumPy, SQL, and related data analysis libraries to process large ...

StaffingSoft Inc.

Data Analyst

Irving, TX

... manipulation and analysis. • Familiar with generalized linear model procedures. • Experience in marketing research, direct marketing and/or marketing analytics. • Significant demonstrated ...

P2PSoftTek Inc

Data Analyst

Charlotte, NC

Expert in Python for data manipulation, automation, and advanced analysis. * Strong hands-on experience with PySpark for distributed data processing. * Proficient in Scala for building scalable big ...

IT America Inc

"DATA ENGINEER"

Cupertino, CA · Remote

$117.20K - $140.70K/yr

Strong Python skills for data manipulation (e.g., pandas, pyarrow, pyspark) Data Infrastructure & Management: * Expertise in data modeling (star/snowflake schemas, normalization, dimensional modeling)

Purple Drive Technologies

Data Engineer

Charlotte, NC · On-site

$111.80K - $134.30K/yr

Strong in Databricks, Spark, SQL, Python (scripting + data manipulation). * Experience building/maintaining data pipeline architectures. * GitHub familiarity for version control. * Strong problem ...

Collabera LLC

Data Scientist

Charlotte, NC

$65 - $68/hr

Strong SQL and large-scale data manipulation * Experience with advanced analytics and BI tools * Experience with model evaluation and experimentation * Strong analytical and critical thinking

AllStar Staffing Group

Data Entry Specialist

Camden, NJ · On-site

$17.25 - $23/hr

Proficient in MS Office with advanced knowledge of Excel (VLOOKUPs, Pivot Tables, Data manipulation, Data cleanup) * Salesforce experience a plus * Experience in a Windows environment (not MAC)

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How much do data manipulation jobs pay per year?

As of May 29, 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 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 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 does Data manipulation do?

Data manipulation involves adjusting, organizing, and transforming data to make it suitable for analysis or reporting. Data manipulation roles typically require skills in tools like Excel, SQL, or programming languages such as Python or R, and focus on ensuring data accuracy and consistency for decision-making.
More about Data Manipulation jobs
What cities are hiring for Data Manipulation jobs? Cities with the most Data Manipulation job openings:
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 May 2026, with employment types broken down into 82% Full Time, 14% Part Time, and 4% Contract. Highlights an 21% Physical, and 79% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.

Data Analyst

Stellar IT Group

Saint Louis, MO • On-site

Contractor

Posted 2 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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