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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 ...

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 ...

AceStack LLC

Snowflake Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

Mastery of Python for data manipulation, automation, and API integrations. Extensive experience with enterprise-grade orchestration tools (e.g., Apache Airflow)

Maintec Technologies

Data tester

Manhattan, NY · On-site

NYC Minimum 15 Years' Experience is mandatory Data Tester - Data manipulation, Data validation, Data fixes, enhancements, testing, strong data guy with Automation (Tosca)

Westat

Data Visualization Analyst

Bethesda, MD · Hybrid

Develop R and Python code for data manipulation and analysis. * Develop SQL code to query and process data files in databases. * Translate business requirements into intuitive dashboard layouts and ...

Surya Systems

Data Architect in Austin, TX

Austin, TX · On-site

$63.25 - $81.25/hr

Requires a depth and breadth of database knowledge that shall help with formal design of relational databases and provides insight into strategic data manipulation. Responsible for making sure an ...

GRVTY

Data Scientist

Mclean, VA · On-site

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

IT America Inc

"DATA ENGINEER"

Cupertino, CA · Remote

$117K - $140K/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)

Samprasoft

Data Analyst V - UALJP

Chicago, IL · On-site

... manipulation, and problem solving skills Desire to attack complex data sets Ability to work independently and manage several simultaneous efforts with a focus on results

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How much do data manipulation jobs pay per year?

As of Jun 28, 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 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.

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 June 2026, with employment types broken down into 96% Full Time, 1% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% 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 yesterday

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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