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Data Validation

Software Development and Engineering Practices

Data validation is the process of checking that data meets specified quality, format, and consistency rules before it is used, stored, or processed further. Analysts, engineers, and QA professionals use validation techniques—such as range checks, type checks, and referential integrity checks—to catch errors early and prevent flawed data from corrupting downstream analysis or systems. It is a foundational practice in data engineering, software development, and business intelligence workflows.

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Data Validation in the job market

Last checked September 12, 2026

Open roles
3

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Employers
3

hiring for it

Median pay

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Open roles requiring Data Validation (3)

AeroVironment

Enterprise Applications Manager

AeroVironment

Full-time · Simi Valley, CA · $117,500 – $179,250

This role leads a finance systems team managing Oracle Fusion Cloud Finance and EPM Suite, requiring someone to oversee day-to-day operations, mentor technical staff, and align enterprise applications with business strategy. It suits experienced IT leaders with deep Oracle finance expertise who can bridge technical delivery and corporate finance priorities.

Listed on AeroVironment’s careers site · Apply there ↗

Acxiom

Sales Data Operations

Acxiom

Remote/Homebased

This role bridges internal operations and external client relationships by managing revenue data accuracy, reporting compliance, and partner communications across Acxiom's digital platform ecosystem. It suits detail-oriented people who can translate complex data discrepancies into business insights while building trust with clients and partners.

Listed on Acxiom’s careers site · Apply there ↗

Senior Backend Engineer, Data Modeling and Ingestion Platform

Udio

Full-time · New York, NY · $180,000 – $220,000

This role involves building the data infrastructure that powers a generative audio company's research, focusing on ingesting and unifying large datasets from multiple external sources. You'll design systems for entity resolution, deduplication, and data enrichment at scale, working closely with ML researchers to prepare training-ready datasets.

Listed on Udio’s careers site · Apply there ↗

Roles that use Data Validation

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