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Data Generator User Jobs (NOW HIRING)

Focus in on testing of data, not front or UI testing * Maintain test data generator - Preferable to know python * Experience in scripting or programming (Python is the preferred, excel macros)

Generator Technician

Portland, OR · On-site

$27 - $40/hr

... data centers, water & sewer districts, healthcare facilities, utilities, military bases, hi-rise ... Provide end user training, as necessary, on how to operate equipment * Maintain compliance with all ...

Generator Technician

Aurora, CO · On-site

$27 - $42/hr

... data centers, water & sewer districts, healthcare facilities, utilities, military bases, hi-rise ... Provide end user training, as necessary, on how to operate equipment * Maintain compliance with all ...

From creating the home standby generator market category, to our current evolution into an energy ... Write user and technical specifications in line with business needs. Basic Qualifications:

CEG), is America's largest generator of electricity from natural gas and geothermal resources with ... Expert functional user of Intelometry/InRetail system. Process Flow/Deal Lifecycle * Responsible ...

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Data Generator User information

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$9

$22

$50

How much do data generator user jobs pay per hour?

As of Jul 4, 2026, the average hourly pay for data generator user in the United States is $22.20, according to ZipRecruiter salary data. Most workers in this role earn between $15.38 and $24.76 per hour, depending on experience, location, and employer.

What is a Data Generator User?

A Data Generator User is someone who utilizes data generation tools or software to create synthetic or simulated data sets. These users often work in data science, software testing, or machine learning to generate data for testing algorithms, validating systems, or training models when real-world data is unavailable or sensitive. Data Generator Users are skilled at configuring parameters and ensuring the generated data meets specific requirements, such as volume, variety, and format. Their work helps organizations test and develop robust data-driven solutions without compromising privacy or relying solely on existing data.

What are the key skills and qualifications needed to thrive as a Data Generator User, and why are they important?

To thrive as a Data Generator User, you need a strong understanding of data analysis, attention to detail, and familiarity with data management principles, typically supported by relevant education or experience in data handling. Proficiency in data generation tools, spreadsheet software, and sometimes programming languages like Python or SQL is often required. Strong problem-solving abilities, communication skills, and the ability to work independently are key soft skills in this role. These skills ensure accurate, efficient, and reliable data creation, which is critical for supporting business analytics and decision-making processes.

What are some typical challenges faced by Data Generator Users when ensuring data quality and consistency?

One common challenge Data Generator Users encounter is maintaining high data quality and consistency, especially when generating large datasets for testing or analytics. Ensuring that generated data accurately reflects real-world scenarios and edge cases requires careful planning and validation. Additionally, collaborating with development, QA, and analytics teams to understand their specific data requirements can be complex but is essential for delivering valuable datasets. Regular reviews and automated validation checks can help minimize errors and ensure reliable results.

What is the difference between Data Generator User vs Data Analyst?

AspectData Generator UserData Analyst
Required CredentialsBasic technical skills, familiarity with data toolsDegree in statistics, data science, or related field
Work EnvironmentUses data generation tools in various industriesAnalyzes data to derive insights, often in office settings
Employer & Industry UsageTech companies, research labs, data firmsBusiness, finance, healthcare, marketing

The main difference is that Data Generator Users focus on creating synthetic data using specialized tools, while Data Analysts interpret and analyze existing data to support decision-making. Both roles require technical skills, but Data Analysts typically have more advanced certifications and focus on data interpretation.

More about Data Generator User jobs
What cities are hiring for Data Generator User jobs? Cities with the most Data Generator User job openings:
What states have the most Data Generator User jobs? States with the most job openings for Data Generator User jobs include:
Infographic showing various Data Generator User job openings in the United States as of June 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $46,178 per year, or $22.2 per hour.
QA Tester

Other

Posted 16 days ago


Job description

Job Title: QA Tester
Location: Columbus, OH (Hybrid)
Tester Requirements

  • Need to be able to create and have created test plans/test scripts.
  • Be able to identify expected results (had conversations with developers/business/etc - wherever requirements came from), which may not be clear from the requirements.
  • Moderate to Advanced SQL skills
  • Focus in on testing of data, not front or UI testing
  • Maintain test data generator - Preferable to know python
  • Experience in scripting or programming (Python is the preferred, excel macros)
  • Development Experience, preferably in python
  • Worked with financial data
  • Experience with large data migrations
  • Experience with API Testing
  • Problem Solver, Curious - Mindset to find problems, need a higher-level thinker.
  • Independent. Able to manage your own work. Ability to work with light supervision. Create own test schedule. Plan and prioritize own work.
  • Self-Starter - ability to come in and dig in with little/no documentation; ability to quickly grasp and understand concepts/systems/applications
  • Highly collaborative and comfortable working a team-oriented environment
  • Attention to detail
  • Collections background, Commercial loan or CC background (preferred, but not a deal breaker)

Required Skills : Python, SQL, ETL Testing, Data Migrations
Basic Qualification :
Additional Skills :
Background Check : Yes
Drug Screen : Yes
Notes :
Selling points for candidate :
Project Verification Info :"The information provided below is for Apex Systems AV use only and is not to be distributed publicly, or to any third party. Any distribution of the below information will result in corrective action from Apex Systems Vendor Management. MSA: Blanket Approval Received Client Letter: Will Provide"
Candidate must be your W2 Employee :Yes
Exclusive to Apex :No
Face to face interview required :Yes
Candidate must be local :Yes
Candidate must be authorized to work without sponsorship :Yes
Interview times set : :No
Type of project :
Master Job Title :
Branch Code :