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Data Manipulation Jobs (NOW HIRING)

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 ...

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 ...

Data & AI Engineer

Houston, TX · On-site

$109K - $131K/yr

Responsibilities : • Design and implement data manipulation pipelines using scripting languages like Python and SQL for ingestion, cleansing, enrichment, and formatting. • Apply AI tools and ...

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

Data Engineer - Sr

Charlottesville, VA · On-site

$107K - $128K/yr

... manipulation, data analysis, or data modeling • Experience creating and integrating code for retrieving, parsing, and processing data across multiple systems or applications • Experience ...

Required : • Bachelor's Degree • Proficiency in data manipulation tools (e.g., Python, R) • Experience with machine learning techniques • Strong statistical analysis skills • Knowledge of ...

Senior ML Data Engineer - Remote

Plano, TX · On-site +1

$110K - $132K/yr

... data manipulation and SQL for query optimization Experience building pipelines for real-time and batch model serving in production environments and knowledge of CICD practices for ETLELT pipeline ...

Data Engineer

Sterling, VA · On-site

$122K - $253K/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 ...

Required : • Proficiency in data manipulation tools (e.g., Python, R) • Experience with machine learning techniques • Strong statistical analysis skills • Knowledge of data visualization ...

Lead Data Engineer

Minneapolis, MN · On-site

$107K - $140K/yr

Proficient in data manipulation and pipeline development * Experience processing large datasets in a distributed environment * Hands-on experience with Databricks notebooks, workflows, and cluster ...

Data Ops Engineer

San Diego, CA · On-site

$121K - $146K/yr

... manipulation and visualization tools to effectively convey status and historical trends to leadership, users, and data team. • Collaborate with platform, software, and other data engineers to (re ...

Minimum 5 years of hands-on experience in SQL Server SQL development, including writing complex queries, data manipulation statements, stored procedures, and tuning * Knowledge of indexing, query ...

Required : • Proficiency in data manipulation tools (e.g., Python, R) • Experience with machine learning techniques • Strong statistical analysis skills • Knowledge of data visualization ...

Good understanding of SAS dataset handling, joins, and data manipulation techniques. * Experience in Banking or Insurance domain preferred. * SAS Certification is an added advantage. Founded in 2010 ...

Data Engineer

Princeton, NJ · On-site

$120K - $144K/yr

... manipulation, ETL workflows, and automation of data tasks. • Develop reusable scripts and modules for data processing. • Collaboration & Stakeholder Engagement • Work closely with data ...

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 ...

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Data Manipulation information

See salary details

$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:
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.

Senior Data Analyst

Stellar IT Group

Chicago, IL • On-site

$88K - $111K/yr

Full-time

Re-posted 25 days ago


Job description

Overview:
TITLE: Senior Data Analyst
Location: Chicago, IL (some travel to McLean, VA maybe required)
Duration: 7+ months
Role Overview
We are seeking experienced Senior Data Analysts to support advanced data engineering and analytics initiatives. This role requires strong technical expertise, hands-on problem solving, and the ability to work independently in a fast-paced environment.
Core Technical Skills
  • Python / PySpark: Skilled in data processing using Databricks or Jupyter Notebooks.
  • SQL: 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 / Unix: Comfortable with shell scripting for navigation and automation.
  • Dashboarding / Visualization: Strong experience with tools such as Tableau, Power BI, or QuickSight.

Preferred Qualifications
  • Capital One Experience: Familiarity with internal tools and ecosystem is highly valued for faster onboarding.
  • Proactive Learner: Ability to quickly adapt to new tools and processes without extensive documentation.
  • Self-Starter: Demonstrated capability to take ownership of problems and drive solutions independently.

Skills:
Python,PySpark,SQL,AWS