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Data Validation Engineer Jobs in Nevada (NOW HIRING)

ENNOVARA

Be Seen First

Data Analyst

Las Vegas, NV · On-site

$25 - $35/hr

Data Analyst The data analyst will be responsible for importing, transforming, validating and ... Company Description Ennovara, headquartered in Las Vegas, Nevada, is a growing engineering and ...

Pwc

AI Engineer

Las Vegas, NV · On-site

$50K - $112K/yr

Within our Internal Firm Services practice, you will apply data, algorithms, and software ... logic, and structured output validation to support reliable, multi-step AI workflows ...

IS3

Data Center Technician

Reno, NV · On-site

Data Center Technician - L2 Location: Reno, Nevada Duration: 12+ months * Perform rack, stack, and ... engineering documentation. * Conduct basic hardware validation, LED/port checks, and physical ...

Zimmer Biomet

$14.25 - $19/hr

... developers and analysts. * Support the documentation of technical processes, user guides, and ... Perform basic data checks and assist with data validation efforts to ensure data integrity.

Zimmer Biomet

$14.75 - $19.50/hr

... developers and analysts. * Support the documentation of technical processes, user guides, and ... Perform basic data checks and assist with data validation efforts to ensure data integrity.

Zimmer Biomet

$15.25 - $20.50/hr

... developers and analysts. * Support the documentation of technical processes, user guides, and ... Perform basic data checks and assist with data validation efforts to ensure data integrity.

Zimmer Biomet

$14 - $18.75/hr

... developers and analysts. * Support the documentation of technical processes, user guides, and ... Perform basic data checks and assist with data validation efforts to ensure data integrity.

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Data Validation Engineer information

What is a data validation engineer?

Data Validation Engineers are professionals responsible for ensuring the accuracy, quality, and integrity of data within software systems or databases. They design and implement tests, validation protocols, and automated processes to verify that data meets specified requirements and is free from errors. Data Validation Engineers often work closely with data engineers, analysts, and developers to identify inconsistencies, troubleshoot issues, and maintain reliable datasets crucial for business operations and decision-making.

What are the key skills and qualifications needed to thrive as a data validation engineer?

To thrive as a Data Validation Engineer, you need strong analytical skills, a background in computer science or engineering, and experience with data quality assurance methodologies. Familiarity with database management systems, data validation tools (like Talend or Informatica), and scripting languages such as Python or SQL is typically required. Attention to detail, problem-solving abilities, and effective communication are critical soft skills in this role. These competencies are essential for ensuring data integrity, minimizing errors, and supporting reliable business decision-making.

What are the typical challenges faced by data validation engineers when working with large and complex datasets?

Data Validation Engineers often encounter challenges such as handling inconsistent data formats, ensuring data integrity across multiple sources, and managing large-scale datasets efficiently. Identifying subtle data anomalies and implementing robust automated validation scripts can be difficult, especially when data is unstructured or rapidly changing. Collaboration with data engineers, analysts, and quality assurance teams is essential to develop effective validation strategies and maintain high data quality standards throughout the data pipeline.

What is the difference between Data Validation Engineer vs Data Analyst?

AspectData Validation EngineerData Analyst
Primary FocusEnsuring data accuracy, integrity, and validation processesAnalyzing data to identify trends and generate reports
Skills & CertificationsData validation tools, SQL, scripting, quality assuranceData analysis, visualization, statistical skills, Excel, SQL
Work EnvironmentData warehouses, ETL pipelines, quality assurance teamsBusiness units, reporting teams, data-driven departments
Industry UsageTech, finance, healthcare, where data quality is criticalMarketing, finance, consulting, where insights drive decisions

While both roles work with data, Data Validation Engineers focus on verifying data accuracy and integrity during data processing, whereas Data Analysts interpret data to provide insights and support decision-making. Understanding these differences helps organizations assign the right skills to each role.

What cities in Nevada are hiring for Data Validation Engineer jobs?

Cities in Nevada with the most Data Validation Engineer job openings:

Infographic showing various Data Validation Engineer job openings in Nevada as of August 2026, with employment types broken down into 1% As Needed, 88% Full Time, 9% Part Time, and 2% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution.

Data Analyst

Las Vegas, NV • On-site

ENNOVARA
See more jobs at ENNOVARAexternal

$25 - $35/hr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 13 days ago

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Job description

Position Title: Data Analyst

The data analyst will be responsible for importing, transforming, validating and modeling data with the purpose of understanding and drawing conclusions from the data in order to drive operational processes and decision-making business intelligence and data reports.

Responsibilities:

o   Perform data processing tasks and prepare data analytics reports meeting defined specifications.

o   Present data in graphs and tables as well as designing and developing relational databases for data collection and data processing.

o   Respond to requests for data retrieval, visualization, and investigation with minimal turn-around time.

o   Develop processes for standardizing raw data coming from different sources in a variety of formats, and support team members in cleaning and improving data quality.

o   Work with business analysts and data modeling staff to document data presentation requirements in collaboration with management staff.

Successful Candidate’s Attributes:

o   Bachelor’s degree in Computer Science, Information Technology, Statistics or related field.

o   Must have strong analytical skills and an understanding of relational databases, data elements, and application software solutions to maximize data gathering and data analysis.

o   Strong foundational knowledge of probability theory, sampling distributions, and statistical modeling.

o   Extensive knowledge of Python and Microsoft Excel VBA programming skills, with the ability to apply these tools for data processing, analysis, and automation.

o   Familiarity with SQL or demonstrated ability to quickly develop SQL proficiency will be an important part of the data analyst role.

o   Solid organization skills, including the ability to make sound prioritization decisions and the ability to manage multiple tasks and assignments.

o   Strong verbal and written communication skills, with the ability to clearly present information and collaborate with team members and stakeholders.

o   Able to work independently with minimal supervision while collaborating effectively in a team environment.

o   Demonstrates a strong interest in data and analytics and a commitment to learning new tools and data analysis methodologies.

o   Experience with machine learning techniques (e.g., classification, clustering, tree-based models) is a plus.

Company Description

Ennovara, headquartered in Las Vegas, Nevada, is a growing engineering and consulting services company serving the electric utilities industry.