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Data Manipulation Jobs (NOW HIRING)

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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 ...

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 ...

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 ...

Stellar IT Group

Senior Data Analyst

Chicago, IL · On-site

$88K - $111K/yr

Proficient in complex data manipulation and retrieval. * AWS (S3) : Experience consuming and managing data in cloud storage. * Snowflake : Hands-on background in cloud data warehousing. * Linux ...

Samprasoft

Data Architect

Clark, NJ · On-site

$66 - $84.75/hr

Expert in data manipulation tools * Practical skill sets in BI and Data visualization tools * Knowledge of other programming languages and ability to write code

HCL Global Systems

Python Developer/Data Engineer

Spring, TX · On-site

$42.50 - $58.50/hr

Advanced Python (data manipulation, automation, and object-oriented programming). * Data Platforms: Databricks (PySpark and SQL data manipulation), Spotfire (data visualization and integration)

Software Technology Inc

Data Architect

Clark, NJ · On-site

$66 - $84.75/hr

Expert in data manipulation tools * Practical skill sets in BI and Data visualization tools * Knowledge of other programming languages and ability to write code (i.e.

Staffingine LLC

Snowflake DBT Engineer

New York, NY · On-site

$125K - $150K/yr

Python Scripting Utilize Python for data manipulation automation and integration tasks Qualifications / Technical Skills * Experience Minimum of 8 years of experience in data engineering

E-Solutions

Data Engineer

Cincinnati, OH · On-site

$109K - $132K/yr

For data querying and manipulation. Data Warehousing: Understanding principles like ETL and data modeling concepts. MINIMUM KNOWLEDGE, SKILLS, AND ABILITIES REQUIRED: - bachelor's degree in computer ...

Tek Ninjas

GCP Data Engineer

Dallas, TX · On-site

$113K - $136K/yr

Proficiency in SQL and Python for data manipulation and analysis * Excellent problem-solving and analytical skills Preferred Skills: * Certification in Google Cloud Platform * Experience with Apache ...

ADDSOURCE

Data Engineer

Fort Worth, TX · On-site

$109K - $131K/yr

Strong Python (data manipulation, packaging, testing) and FastAPI (async programming, dependency injection, Pydantic models, routers, middleware). * Hands-on experience with AWS Glue (Jobs, Crawlers ...

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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 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.
Junior Data Analyst in Reston VA

Junior Data Analyst in Reston VA

Hexaware Technologies, Inc

Reston, VA • On-site

Other

Posted 20 days ago

Job description

Junior Data Analyst

Reston VA

Skillsets:

  • 3 4 years of hands-on experience in data analysis, business intelligence, or analytics.
  • Strong proficiency in SQL (joins, window functions, aggregations, query optimization).
  • Advanced Excel/Google Sheets skills (pivot tables, lookups, formulas, basic modeling).
  • Experience building dashboards/reports in at least one BI tool (Power BI, Tableau, or Looker).
  • Working knowledge of Python or R for data manipulation (pandas or tidyverse).
  • Solid understanding of data visualization best practices and storytelling with data.
  • Basic statistics knowledge (distributions, hypothesis testing, confidence intervals).
  • Experience with large datasets and relational data modeling fundamentals (star/snowflake).

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