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Entry Level Data Validation Jobs in Dallas, TX (NOW HIRING)

Synergie Systems

Entry Level Data Engineer

Dallas, TX · On-site

$113K - $136K/yr

Job Title: Entry Level Data Engineer Location: Dallas, TX Job Type: Only W2 We are looking for an ... Perform data validation, quality checks, and troubleshooting. Work with relational and cloud ...

Pwc

Data Validation Risk - Senior Associate

Dallas, TX · On-site

$77K - $202K/yr

Responsibilities - Utilizing data validation tools to facilitate efficient data conversions and ERP ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

IBM

Associate Data Engineer 2027

Dallas, TX · On-site

$113K - $136K/yr

... entry-level positions. You'll receive a status update email for each application, so be sure to ... Ensure the integrity, accuracy, and reliability of data through rigorous data cleaning, validation ...

Senior Helpers

Healthcare Data Coordinator

Dallas, TX · On-site

$23 - $24/hr

This entry-level role is well suited for an analytical, detail-oriented professional looking to ... Gather, compile, and validate operational and outcomes data from internal systems and external ...

Deloitte

Senior Consultant

Dallas, TX · On-site

Designing and developing data validation processes, and performing data analysis and profiling to ... Professional development From entry-level employees to senior leaders, we believe there's always ...

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All JobsData Validation JobsEntry Level Data Validation JobsEntry Level Data Validation Jobs in Dallas, TX

Entry Level Data Validation information

See Dallas, TX salary details

$22

$51

$77

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

As of Aug 24, 2026, the average hourly pay for entry level data validation in Dallas, TX is $51.44, according to ZipRecruiter salary data. Most workers in this role earn between $38.99 and $62.55 per hour, depending on experience, location, and employer.

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 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.

Entry Level Data Validation jobs near you
Infographic showing various Entry Level Data Validation job openings in Dallas, TX as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $106,988 per year, or $51.4 per hour.

Entry Level Data Engineer

Synergie Systems

Dallas, TX • On-site

$113K - $136K/yr

Other

Posted 4 days ago

Job description

Job Title: Entry Level Data Engineer

Location: Dallas, TX

Job Type: Only W2

Job Description:

We are looking for an enthusiastic and detail-oriented Entry-Level Data Engineer to join our data team. You will work with experienced data engineers and analysts to build, maintain, and improve data pipelines and data infrastructure.

This is a great opportunity for someone who has a strong foundation in SQL and Python and wants to develop their career in data engineering.

Responsibilities:

Develop and maintain ETL/ELT data pipelines.

Extract, transform, and load data from databases, APIs, files, and other sources.

Write and optimize SQL queries for data processing and analysis.

Use Python to automate data-processing and engineering tasks.

Perform data validation, quality checks, and troubleshooting.

Work with relational and cloud databases.

Assist in building and maintaining data warehouses and data lakes.

Monitor data pipelines and investigate data-quality or pipeline issues.

Collaborate with Data Analysts, Data Scientists, Software Engineers, and other stakeholders.

Document data pipelines, processes, and technical solutions.

Follow best practices for data security, reliability, and scalability.

Required Qualifications:

Bachelor’s degree in computer science, Information Technology, Engineering, Data Science, or a related field, or equivalent practical experience.

Strong knowledge of SQL.

Basic to intermediate Python programming skills.

Understanding of relational databases and database concepts.

Basic understanding of ETL/ELT concepts and data pipelines.

Familiarity with Git/version control.

Good problem-solving and analytical skills.

Strong communication and willingness to learn.

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