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Data Validator Jobs in Oregon (NOW HIRING)

Data Analyst - Material Handling Equipment (MHE) Location: Preferred - Greater Chicago, IL; Greater ... to validate cost avoidance and savings initiatives - Assist in building business cases for ...

Data Analyst - Material Handling Equipment (MHE) Location: Preferred - Greater Chicago, IL; Greater ... to validate cost avoidance and savings initiatives - Assist in building business cases for ...

OR · On-site

$150K/yr

Develop and maintain SQL queries and scripts to support dashboards, metrics, data validation, and ad hoc analysis * Document data flows, data definitions, transformation logic, and engineering ...

Support feature preparation and data validation activities under Government and senior analytic direction. * Assist in troubleshooting data-related issues impacting analytics or models. * Support ...

Senior Data Architect

$67.25 - $90/hr

Define and oversee data quality and integrity frameworks, including data validation rules and automated checks across the data lifecycle. * Participate in sprint planning, backlog grooming, and Agile ...

Integrate and validate data from enterprise healthcare, operational, EHR, ServiceNow, Corporate Data Warehouse (CDW), Databricks/Azure, and other data sources to support reliable program reporting.

Validates the tasks results to ensure that all the requirements are met. * Adhere to all the industry level and organization level compliance rules and regulations to maintain data integrity.

$120K - $140K/yr

Oversee complex workstreams including annotation, labeling, linguistic validation, data operations, and ML pipeline support. * Implement governance frameworks, dashboards, and delivery controls that ...

$120K - $140K/yr

Oversee complex workstreams including annotation, labeling, linguistic validation, data operations, and ML pipeline support. * Implement governance frameworks, dashboards, and delivery controls that ...

Perform data validation and quality control testing to identify coding, completeness, and accuracy issues. * Partner with Compliance, Operations, Engineering, and other business teams to resolve data ...

Develop and apply advanced computerized models and algorithms to identify, extrapolate, and validate data patterns that support Specialty Care Program Office decision-making and future business trend ...

Establish automated data validation processes to ensure accuracy and reliability of integrated data. Governance & Standards * Collaborate closely with the Chief Data Officer to align data delivery ...

Develop and apply advanced computerized models and algorithms to identify, extrapolate, and validate data patterns that support Specialty Care Program Office decision-making and future business trend ...

OR · On-site

$114K - $137K/yr

Quality mindset: experience embedding automated test coverage, data validation, and idempotent design into deployment pipelines. * Design principles: security, trust, and dependability are ...

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Data Validator information

See Oregon salary details

$48.6K

$174.5K

$257.4K

How much do data validator jobs pay per year?

As of Jul 24, 2026, the average yearly pay for data validator in Oregon is $174,471.00, according to ZipRecruiter salary data. Most workers in this role earn between $141,100.00 and $179,700.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Data Validator position, and why are they important?

To thrive as a Data Validator, you need strong attention to detail, analytical skills, and experience working with large datasets, often supported by a degree in information technology, mathematics, or a related field. Familiarity with data validation tools, database systems (like SQL), Excel, and sometimes industry-standard certifications such as CDMP (Certified Data Management Professional) can be advantageous. Excellent communication, problem-solving abilities, and the capacity to work independently or as part of a team are valuable soft skills. These competencies ensure accuracy, integrity, and reliability in data, which are critical for decision-making and business operations.

What challenges might I face as a Data Validator, and how can I overcome them?

As a Data Validator, you may encounter challenges like identifying subtle inconsistencies in large datasets, managing tight deadlines for data verification, and adapting to multiple data sources or formats. To overcome these hurdles, it’s important to develop strong troubleshooting skills, stay organized, and leverage automated validation tools whenever possible. Collaborating closely with data engineers and business analysts can also help clarify data requirements and resolve ambiguities. Building a thorough understanding of data processes within your organization will further equip you to handle these challenges effectively and efficiently.

What is a Data Validator job?

A Data Validator is responsible for ensuring the accuracy, consistency, and integrity of data within a system or dataset. They review, clean, and verify data to identify errors, inconsistencies, or missing information. This role is essential in industries that rely on high-quality data for decision-making, such as finance, healthcare, and research. Data Validators use various tools and techniques to cross-check and validate data against predefined standards or business rules. Their work helps maintain data reliability, improves efficiency, and supports better decision-making across an organization.

Infographic showing various Data Validator job openings in Oregon as of July 2026, with employment types broken down into 1% As Needed, 87% Full Time, 9% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $174,471 per year, or $83.9 per hour.

Contractor

Posted 10 days ago


Job description


Title: Insurance Data Analyst
Duration: 2 Months
Location: Portland, OR
Job Description
The Insurance Data Analyst contractor will play a key role in supporting our transition to Riskonnect by gathering, validating, and analyzing insurance related data required for system configuration and ongoing reporting.
Requirements
Responsibilities
  • This role involvesconsolidating information from claims, policies, exposures, and historicalloss records; performing data quality checks; identifying inconsistenciesor gaps; and preparing structured datasets aligned with Riskonnect's datamapping and upload requirements.
  • The contractor will leverageadvanced Excel skills-including complex formulas, data cleansingtechniques, pivot tables, and data validation tools-to efficientlytransform and audit large datasets prior to migration.
  • They will collaborate closelywith internal stakeholders and the implementation team to ensure accuratedata migration, support user acceptance testing with analytical insights,and document data processes to enable smooth adoption of the new platform.
  • Clear communication,meticulous attention to detail, and the ability to work independently in afast-moving implementation environment are essential.