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Data Validation Jobs in Washington (NOW HIRING)

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary The Opportunity As a Data Validation Risk Manager, you will play a pivotal role within our Risk ...

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Director & Summary The Opportunity As a Data Validation Risk Director, you will lead efforts within our Risk ...

Perform data validation and quality checks * Support KPI and trend reporting * Assist with ad-hoc analysis * Document metrics and reports Required Qualifications * 2-3 years of experience in data ...

Perform data validation and quality checks * Support KPI and trend reporting * Assist with ad-hoc analysis * Document metrics and reports Required Qualifications * 2-3 years of experience in data ...

Data validation logic * Modular data engineering frameworks Data Accuracy, Validation & Visibility * Design and implement automated data validation frameworks to ensure: * Functional equivalence ...

Data validation logic * Modular data engineering frameworks Data Accuracy, Validation & Visibility * Design and implement automated data validation frameworks to ensure: * Functional equivalence ...

Validate business rule implementation and confirm that technical solutions align with customer requirements and intended business outcomes. Translate ambiguous business needs into structured data ...

Validate business rule implementation and confirm that technical solutions align with customer requirements and intended business outcomes. * Translate ambiguous business needs into structured data ...

DATA ENGINEER

Washington, DC · On-site

$129K - $155K/yr

This role focuses on data ingestion, transformation, and validation for retail and ecommerce datasets. You will collaborate with analytics teams to support reporting needs. Ideal for early-career ...

The position will support Servicing Portfolio Analytics This will require a lot of data validation work, comparing files, tracking changes and etc. 5-7 year experience in SAS - Looking for a ...

This role serves as a key bridge between business stakeholders and technical delivery teams by helping validate requirements, assess data integrity, and ensure business rules are correctly understood ...

BI Reporting Engineer

Washington, DC · Remote

$117K - $140K/yr

Data Validation & Quality Assurance: Validate report outputs against ERP source data, reconciling figures line-by-line to confirm accuracy before stakeholder review. * Offshore Coordination:

BI Reporting Engineer

Washington, DC · On-site +1

$129K - $155K/yr

Data Validation & Quality Assurance: Validate report outputs against ERP source data, reconciling figures line-by-line to confirm accuracy before stakeholder review. * Offshore Coordination:

Data Coordinator

Washington, DC · On-site

$62K - $70K/yr

Perform data validation, editing, verification, and quality assurance to ensure data accuracy and integrity. * Conduct data entry, extraction, downloads, and basic statistical analysis. * Assist with ...

Data Engineer

Washington, DC · Hybrid

$110K - $166K/yr

Set up data validation steps. * Establish and maintain schemas. Required For This Opportunity * Bachelor's Degree in Computer Science (or closely related degree). * At least 5+ years of experience in ...

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Data Validation information

See Washington salary details

$25

$58

$88

How much do data validation jobs pay per hour?

As of Aug 6, 2026, the average hourly pay for data validation in Washington is $58.89, according to ZipRecruiter salary data. Most workers in this role earn between $44.66 and $71.59 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in data validation, and why are they important?

To thrive in Data Validation, a strong attention to detail, analytical thinking, and experience with data management or quality assurance processes are essential, often supported by a degree in information technology, statistics, or a related field. Familiarity with database software (such as SQL), spreadsheet tools (like Excel), and data validation or ETL (Extract, Transform, Load) systems, along with relevant certifications, is highly beneficial. Strong problem-solving skills, effective communication, and the ability to work both independently and collaboratively help individuals excel in this role. These skills ensure the accuracy and integrity of organizational data, supporting informed decision-making and operational efficiency.

What is a data validation?

A Data Validation job involves reviewing, cleaning, and verifying data to ensure accuracy, consistency, and reliability. Professionals in this role check for errors, inconsistencies, and missing information using automated tools and manual techniques. They work with databases, spreadsheets, and software applications to maintain data integrity, often collaborating with analysts and engineers. Their work is critical for making informed business decisions and maintaining regulatory compliance.

What does a data validation do?

A Data Validation professional typically spends their day reviewing large datasets, identifying inconsistencies or errors, and ensuring that all data meets established quality standards. This may involve developing and running automated scripts, maintaining data validation rules, and collaborating with data engineers or analysts to resolve data-related issues. The role often requires documenting validation processes and findings to support transparency and future audits. You can expect to work both independently and as part of a larger data or QA team, making your contributions vital to maintaining reliable business information.

What is the work of data validation?

Data validation is a key responsibility in data validation jobs, involving checking data for accuracy, completeness, and consistency to ensure it meets specified standards. It often requires attention to detail, knowledge of data quality tools, and understanding of data formats to prevent errors in data processing and analysis.
What job categories do people searching Data Validation jobs in Washington look for? The top searched job categories for Data Validation jobs in Washington are:
What cities in Washington are hiring for Data Validation jobs? Cities in Washington with the most Data Validation job openings:
Infographic showing various Data Validation job openings in Washington as of August 2026, with employment types broken down into 5% Internship, 71% Full Time, and 24% Contract. Highlights an 81% In-person, 5% Hybrid, and 14% Remote job distribution, with an average salary of $122,493 per year, or $58.9 per hour.

Data Validation Risk - Manager

Pwc

Washington, DC

$99K - $232K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 28 days ago


PwC rating

8.3

Company rating: 8.3 out of 10

Based on 76 frontline employees who took The Breakroom Quiz

25th of 72 rated business consultants


Job description

Industry/Sector

Not Applicable

Specialism

Data, Analytics & AI

Management Level

Manager

Job Description & Summary

The Opportunity
As a Data Validation Risk Manager, you will play a pivotal role within our Risk & Regulatory practice, focusing on leveraging advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. You will utilize skills in data manipulation, visualization, and statistical modeling to support clients in solving complex business problems, optimizing their operations, and achieving strategic goals.
As a Manager, you will lead teams and manage client accounts, focusing on strategic planning and mentoring junior staff. You are accountable for confirming project success and maintaining standards. Enhancing your leadership style, you motivate, develop, and inspire others to deliver quality. You are responsible for coaching, leveraging team members' unique strengths, and managing performance to deliver on client expectations. With your growing knowledge of how business works, you play an important role in identifying opportunities that contribute to the success of our Firm. You are expected to lead with integrity and authenticity, articulating our purpose and values in a meaningful way. You embrace technology and innovation to enhance your delivery and encourage others to do the same.
In this role at PwC, you will analyze and identify the linkages and interactions between the component parts of an entire system, take ownership of projects, and develop skills outside your comfort zone, encouraging others to do the same.
Responsibilities
- Leading data validation and risk management initiatives to support client objectives
- Utilizing advanced analytics techniques to extract insights from complex datasets
- Developing and implementing data quality improvement plans to enhance data integrity
- Managing and mentoring teams to deliver data-driven solutions and meet client expectations
- Conducting exploratory data analysis to identify trends and inform strategic decision-making
- Building and maintaining data pipelines and integration processes for seamless data flow
- Designing and deploying data visualization dashboards using tools like Power BI and Tableau
- Collaborating with stakeholders to address data challenges and optimize business performance
- Applying statistical modeling and predictive analytics to solve complex business problems
- Overseeing the development of scalable data solutions to support client operations
What You Must Have
- At least a Bachelor's degree
- At least 4 years of experience
What Sets You Apart
- Preference for at least one of the following fields of study: Accounting, Engineering, Data Processing/Analytics/Science, Computer and Information Science, Economics, Finance
- At least one of the following: a Certification in databases (Databricks, MS SQL), visualization tools (Power BI), cloud platforms (AWS, Azure, GCP), or predictive modeling/ML (Python, SAS)
- Demonstrating proficiency in data validation and risk analysis
- Utilizing advanced data visualization tools like Tableau and Power BI
- Excelling in complex data analysis and predictive modeling
- Embracing technology and innovation to enhance client delivery
- Mentoring team members to develop skills outside their comfort zone

Travel Requirements

Up to 40%

Job Posting End Date

The salary range for this position is: $99,000 - $232,000. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. All hired individuals are eligible for an annual discretionary bonus. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glanceAs PwC is anequal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law.PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy.Learn more about how we work: https://pwc.to/how-we-workFor only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all.

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