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Data Validation Engineer Jobs in Nevada (NOW HIRING)

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Data Engineer

Las Vegas, NV ยท On-site

$109K - $131K/yr

... validation and testing to ensure the accuracy, consistency, and compliance of data. - Stay up-to-date with emerging technologies like GenAI/LLM technologies and best practices in data engineering ...

Be Seen First

Data Engineer

Las Vegas, NV ยท On-site

$109K - $131K/yr

... validation and testing to ensure the accuracy, consistency, and compliance of data. - Stay up-to-date with emerging technologies like GenAI/LLM technologies and best practices in data engineering ...

Senior Data Engineer

Las Vegas, NV ยท On-site

$101K - $137K/yr

... data validation and testing to ensure the accuracy, consistency, and compliance of data. โ€ข Stay up-to-date with emerging technologies and best practices in data engineering. โ€ข Document data ...

Data Engineer

Las Vegas, NV

$109K - $131K/yr

As an experienced Data Engineer you will have the ability to share new ideas and collaborate on ... Build reusable Python components for ingestion, validation, and transformations; enforce standards ...

Data Engineer

Las Vegas, NV ยท On-site

$110K - $132K/yr

The Data Engineer will oversee our transition from on-premise data marts to a cloud hosted ... Design, build, and implement data transformation, conversion, and validation of data required for ...

New

Data Engineer

Las Vegas, NV ยท Hybrid

$87K - $124K/yr

The Data Engineer will oversee our transition from on-premise data marts to a cloud hosted ... Design, build, and implement data transformation, conversion, and validation of data required for ...

Data Engineer

Las Vegas, NV ยท Hybrid

$87K - $124K/yr

The Data Engineer will oversee our transition from on-premise data marts to a cloud hosted ... Design, build, and implement data transformation, conversion, and validation of data required for ...

Data Engineer II

Las Vegas, NV ยท On-site

$109K - $131K/yr

As an experienced Data Engineer , you will have the ability to share new ideas and collaborate on ... Build reusable Python components for ingestion, validation, and transformations; apply standards ...

Data Engineer - Senior Manager

Las Vegas, NV ยท On-site

$124K - $280K/yr

In data engineering at PwC, you will focus on designing and building data infrastructure and ... Validate outcomes with clients, share alternative perspectives, and act on client feedback. Direct ...

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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.

Staff Integration and Validation Engineer-Reno

Reno, NV โ€ข On-site

Full-time

Posted 9 days ago


Job description

Role

At Amperesand, you own validation of the power electronics that go into our solid-state transformers. As the technical validation lead for a major SST subsystem, you will take it from first bring-up through design validation, qualification, and continuous regression: building the test systems, defining the strategy, and holding the bar for what it means for high-power, high-voltage hardware to work flawlessly.

Responsibilities
  • Serve as the technical validation lead for an assigned SST subsystem, owning the validation strategy, plan, and schedule from initial design validation through production ramp and sustaining releases.
  • Design, develop, and maintain test systems for high-voltage, high-current power electronics, including load banks, source/sink and back-to-back converter setups, and thermal chambers.
  • Characterize and validate the electrical, thermal, and performance behavior of our products across prototype, pre-production, and production builds: efficiency and loss breakdown, switching behavior, gate drive integrity, insulation coordination, derating, and margin to limits.
  • Own the regression suite for your subsystem so that every hardware revision and firmware release is held to the same bar and automate it so it runs continuously without hand-holding.
  • Trace each product requirement to the test that proves it, and make coverage gaps visible early rather than at the end of a build.
  • Drive root cause analysis on failures and field escapes, from component-level debug through full-system interaction and follow fixes through to verified closure.
  • Define the manufacturing test specification for volume production and transfer test systems and know-how to internal and contract manufacturing teams.
  • Innovate test system design to meet accuracy, cycle time, cost, safety, and other performance factors. Quantify measurement uncertainty rather than assuming it.
  • Collaborate closely with hardware design, firmware, magnetics, mechanical, and systems teams from early architecture reviews onward, and push for design-for-test and design-for-validation features before layouts are frozen.
  • Mentor engineers and technicians on high-voltage practice, measurement technique, and debug methodology. Review test plans and results across the team.
  • Establish and uphold high-voltage safety practices in the lab, including interlocks, procedures, and training.
  • Challenge ideas and decisions with reasoning from first principles.
  • Travel to different facilities worldwide to collaborate with teams and deploy our solutions.
Qualifications
  • BS or MS in Electrical or Computer Engineering.
  • 6+ years of hands-on experience in test, validation, or integration engineering, with substantial time spent on power electronics.
  • Demonstrated ownership of a product or subsystem through a full validation cycle, from first bring-up and design validation to production and sustaining regression.
  • Deep understanding of power electronics principles: switching converter topologies, magnetics, gate drive, control loops, high-voltage and high-current systems, and power conversion technologies.
  • Strong hands-on high-voltage lab skills and a rigorous, safety-first approach to working at power.
  • Solid experience with PCBA schematics and debugging hardware down to the component level.
  • Fluency with oscilloscopes, high-voltage differential probes, current shunts and Rogowski coils, power analyzers, multimeters, dielectric withstand testers, and thermal instrumentation such as thermocouples and IR imaging.
  • Comfort with the data side of validation: structured results, dashboards, and statistical analysis that make a decision obvious.
  • Be engaged, proactive, and positive when taking on challenging tasks, owning assignments, and taking accountability for personal and overall team success.
Nice to Have
  • Experience with grid-tied inverters and active front ends, or DC fast charging.
  • Familiarity with partial discharge, dielectric withstand, and insulation coordination against standards such as IEC 61800-5-1, UL 1741, or IEEE 1547.
  • SiC or GaN device characterization, including double-pulse testing, switching loss measurement, and short-circuit behavior.
  • EMC pre-compliance testing.
  • Grounding and shielding design for fast-switching systems.
  • HALT/HASS, accelerated life testing, or reliability engineering exposure.
  • Experience using system-level languages (such as Golang, Rust, C, C++, etc.) to automate systems, along with Python for instrument control and data analysis.