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Data Validation Risk - Senior Associate

PwC

Chicago, ILJob$77–202K/yrSeen 3w agoSeen in employer's feed 2 days ago

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At a glance

Compensation
$77–202K/yr
Location
Chicago, IL
Work Authorization
Not specified

Olive lists jobs from US employers, including remote roles you can work from the United States.

Requirements

Credentials this posting asks for.

Bachelor's degree

Job overview

The Data Validation Risk Senior Associate supports client engagements in data and analytics engineering, developing data pipelines, integration, and transformation solutions. The role analyzes complex problems, builds client connections, mentors junior team members, and contributes to Risk & Regulatory workstreams. It involves designing data solutions, interpreting findings to inform recommendations, and upholding professional and technical standards.

Skills & qualifications

RequiredNice to have

Skills

Data ValidationData QualityData IntegrationData InterpretationCritical ThinkingAgile MethodsClient Relationship BuildingTeam GuidanceTechnical StandardsIndependence Requirements

Qualifications

Bachelor's Degree3+ Years ExperienceAnalytics or Data ScienceBusiness Administration or ManagementComputer Science or Information SystemsEconomicsEngineeringFinanceMathematics or StatisticsOperations or Supply Chain

Benefits

Medical Insurance
Dental Insurance
Vision Insurance
401(k) Match
Paid Time Off

Full job description

The Opportunity

As a Data Validation Risk Senior Associate you will support client engagements in data and analytics engineering, focusing on data engineering work that helps turn raw information into insights through data pipelines, data integration, and data transformation solutions. As a Senior Associate you will analyze complex problems, build meaningful client connections, mentor junior team members, and use critical thinking to navigate ambiguity while contributing to workstreams that support the broader objectives of your role within our Risk & Regulatory practice. In this role at PwC, you will help design and develop data solutions, interpret data to inform recommendations, and uphold professional and technical standards while growing your personal brand and technical skills.

Responsibilities

  • Developing data validation approaches for client engagements and translating business requirements into technical controls

  • Analyzing complex data sets to identify anomalies, breakpoints, and transformation issues across data pipelines

  • Applying data engineering methods to support data integration, data quality checks, and data transformation activities

  • Interpreting validation findings and documenting issues, assumptions, and recommended corrective actions

  • Collaborating with client teams to understand data sources, target structures, and reporting requirements

  • Reviewing assigned workstreams and supporting junior team members through technical guidance and feedback

  • Using analytical tools and SQL-based techniques to test data movement, reconcile outputs, and trace data lineage

  • Monitoring project progress, adapting to changing priorities, and maintaining focus on deliverables and timelines

What You Must Have

  • At least a Bachelor's degree

  • At least 3 years of experience

What Sets You Apart

  • Preference for at least one of the following fields of study: Analytics/Data Science, Business Administration/Management, Computer Science/Information Systems, Economics, Engineering, Finance, Mathematics/Statistics, Operations/Supply Chain

  • Demonstrating data validation, data quality, and data integration project experience

  • Interpreting data findings into recommendations for client-facing delivery teams

  • Using critical thinking to break down complex data issues

  • Applying Agile methods and adapting to changing priorities

  • Building client relationships while guiding junior team members

  • Upholding technical standards and independence requirements

The salary range for this position is: $77,000 - $202,000. 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-glance

As PwC is an equal 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-work

For 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.

How this job compares

Set against the 2,854 open Data Engineering jobs on Olive Jobs, counted November 1, 2026.

Pay
  • This posting$77–202K/yr
  • Illinois median$128–208K/yr86 salary ranges
  • US median$124–210K/yr2,328 salary ranges

This range's midpoint, $140K, is 15% below the Illinois median midpoint ($165K) — in the lowest quarter of Data Engineering salary ranges in Illinois.

Openings
Olive Jobs lists 94 open Data Engineering jobs in Illinois and 2,854 across the US. 7% of them nationwide are listed as remote or flexible.
Hiring the most in Illinois
Experience
This posting asks for at least 3 years of experience — less than three in four Data Engineering postings that state a minimum ask for (median 5 years, across 2,428 postings).
Education
This posting asks for a bachelor's degree; 1,033 of the 2,854 open Data Engineering jobs (36%) ask for a bachelor's degree or higher.

Counted across the open, public US postings on Olive Jobs on November 1, 2026. Pay medians are the middle values of the low ends and of the high ends of postings that list both ends of a range in the same cadence (a yearly salary or an hourly rate); a range's midpoint is halfway between its ends. Pay and experience figures resting on fewer than 20 postings are left out.

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