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Entry Level Data Validation Jobs (NOW HIRING)

PCS Global Tech

Entry Level Data/AI Engineer

San Diego, CA · On-site

$121K - $146K/yr

Entry-Level Data & AI Consultant PCS Global Tech is a Microsoft Solutions Partner and technology ... Valid U.S. work authorization, including OPT, Day1 CPT, Green Card, or U.S. Citizenship * Open to ...

Collabera LLC

Entry Level Data Analyst

Orlando, FL · On-site

$21 - $22/hr

Experience preferred within one of the primary areas: financial services, retail banking, controls testing, project management, data validation, grants management. * Intermediate proficiency with ...

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Entry Level Data Validation information

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$22

$51

$78

How much do entry level data validation jobs pay per hour?

As of Aug 7, 2026, the average hourly pay for entry level data validation in the United States is $52.00, according to ZipRecruiter salary data. Most workers in this role earn between $39.42 and $63.22 per hour, depending on experience, location, and employer.

What is the difference between Entry Level Data Validation vs Data Entry Clerk?

AspectEntry Level Data ValidationData Entry Clerk
Required CredentialsHigh school diploma or equivalent; basic understanding of data validation toolsHigh school diploma or equivalent; proficiency in data entry software
Work EnvironmentOffice settings, working with databases and validation toolsOffice or remote, entering data into systems
Employer & Industry UsageBusinesses, finance, healthcare, ITAdministrative, retail, healthcare, finance
Common Search & ComparisonOften compared for entry-level data roles involving validation tasksOften compared for basic data input roles

Entry Level Data Validation focuses on verifying and ensuring data accuracy using validation tools, while Data Entry Clerks primarily input data into systems. Both roles are entry-level, often require similar educational backgrounds, but differ in their core responsibilities and tools used.

What is an entry level data validation?

Entry level data validation jobs involve checking and verifying data for accuracy, completeness, and consistency. People in these roles often review data entries, correct errors, and ensure that information meets established standards. They may use software tools and follow specific guidelines to validate large datasets before the information is used for business decisions or analysis. These positions typically require attention to detail, organizational skills, and basic computer proficiency. Entry level data validation jobs are a good starting point for individuals interested in data management or analytics careers.

What are the key skills and qualifications needed to thrive as an entry level data validation specialist?

To thrive as an Entry Level Data Validation specialist, you need strong attention to detail, basic data analysis abilities, and familiarity with data entry, often supported by a relevant associate’s or bachelor’s degree. Proficiency with spreadsheet software like Microsoft Excel, data management systems, and sometimes introductory knowledge of SQL or data validation tools is typically required. Strong organizational skills, effective communication, and a proactive attitude help individuals excel in this role. These skills ensure accuracy, data integrity, and efficient workflows, which are critical for supporting business operations and decision-making.

What are some common challenges faced by entry level data validation professionals, and how can they be overcome?

Entry-level data validation professionals often encounter challenges such as managing large volumes of data, identifying subtle inconsistencies, and adapting to new data management tools or software. It's common to feel overwhelmed at first, but developing strong attention to detail and asking clarifying questions can help. Leveraging team resources, participating in training sessions, and consistently documenting validation steps are effective strategies for overcoming these challenges. Collaboration with data analysts and IT staff also provides valuable support and learning opportunities.
What cities are hiring for Entry Level Data Validation jobs? Cities with the most Entry Level Data Validation job openings:
What are the most commonly searched types of Data Validation jobs? The most popular types of Data Validation jobs are:
Entry Level Data Validation jobs near you
Infographic showing various Entry Level Data Validation job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $108,152 per year, or $52 per hour.

Entry Level Data/AI Engineer

PCS Global Tech

San Diego, CA • On-site

$121K - $146K/yr

Other

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

Entry-Level Data & AI Consultant

PCS Global Tech is a Microsoft Solutions Partner and technology consulting company helping recent STEM graduates launch careers in Data, Cloud, Business Intelligence, and AI. Through our Talent Development Program, candidates receive structured training, hands-on project preparation, career support, and real-world client experience through our train-to-hire career development pathway.


Our program now includes Data Track and AI Track, preparing candidates for opportunities in data engineering, business intelligence, cloud data platforms, SQL development, AI-enabled data solutions, and enterprise technology consulting.

Candidates will gain exposure to in-demand tools and technologies such as SQL, T-SQL, Python, Power BI, Tableau, Azure, AWS, Snowflake, Databricks, Data Warehousing, Data Modeling, Applied AI/ML, Azure OpenAI, RAG, and LLM concepts.


Potential Career Paths:

  • Data Analyst
  • Business Analyst
  • BI Developer
  • SQL Developer
  • Data Engineer
  • Data Integration Specialist
  • AI/Data Consultant

What We’re Looking For:

  • Bachelor’s or Master’s degree in Computer Science, Business Analytics, Mathematics, Computer Engineering, Information Technology, Data Science, or a related STEM field
  • SQL fundamentals and basic programming knowledge
  • Python knowledge preferred
  • Interest in Data, Cloud, BI, AI, or consulting career paths
  • Strong logical reasoning and communication skills
  • Valid U.S. work authorization, including OPT, Day1 CPT, Green Card, or U.S. Citizenship
  • Open to relocation within the United States after project placement


Apply