ZipRecruiter

Log In

1

Data Integrity Jobs in Chicago, IL (NOW HIRING)

IMC Trading

Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

They are seeking a dedicated and experienced Data Engineer to architect and develop their Big Data environment while ensuring data integrity and collaborating with teams on data modeling.

1 point system

Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

... data integrity, privacy, and security controls) Cloud & AutomationDevelop and manage workflows using orchestration tools (e.g., Airflow, Control-M) Automate data pipelines, deployments, and ...

DTI

Data Entry

Chicago, IL · On-site

$17.50 - $23.50/hr

... data integrity and security policies Ensure proper user of office equipment

IMC

Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

Work with users to ensure data integrity and availability * Act as a Big Data SME and consult on a variety of data-related questions from users and developers Skills and Experience: * 5+ years ...

next page

Showing results 1-20

All JobsData Integrity JobsData Integrity Jobs in Chicago, IL

Data Integrity information

See Chicago, IL salary details

$11

$35

$81

How much do data integrity jobs pay per hour?

As of Aug 13, 2026, the average hourly pay for data integrity in Chicago, IL is $35.81, according to ZipRecruiter salary data. Most workers in this role earn between $19.25 and $45.89 per hour, depending on experience, location, and employer.

What is the difference between Data Integrity vs Data Analyst?

AspectData IntegrityData Analyst
Required CredentialsKnowledge of data management, quality assurance certificationsDegree in statistics, data science, or related field
Work EnvironmentData management teams, IT departmentsBusiness units, analytics teams
Industry UsageEnsuring data accuracy and consistencyAnalyzing data to generate insights

Data Integrity focuses on maintaining the accuracy, consistency, and reliability of data across systems, ensuring data quality. Data Analysts interpret and analyze data to support decision-making. While Data Integrity ensures data is trustworthy, Data Analysts utilize that data to derive meaningful insights. Both roles are essential in data-driven organizations but serve different functions within the data lifecycle.

What are some common challenges faced by data integrity professionals, and how are they typically addressed within organizations?

Data integrity professionals often encounter challenges such as data inconsistencies, incomplete records, and ensuring compliance with data governance standards. These issues are typically addressed through regular audits, implementation of automated validation tools, and close collaboration with IT and data management teams. Maintaining clear documentation and establishing standardized procedures are also crucial for minimizing errors and maintaining high-quality data. Ongoing training and communication help teams stay aligned with evolving data policies and regulatory requirements.

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

To excel in a Data Integrity role, you need a solid understanding of data management principles, attention to detail, and often a degree in information technology, computer science, or a related field. Familiarity with database systems (such as SQL), data validation tools, and compliance frameworks like GDPR or HIPAA is typically required. Strong analytical thinking, problem-solving abilities, and effective communication are essential soft skills for ensuring data accuracy across teams. These skills are vital for maintaining trustworthy, compliant, and high-quality data that supports sound business decisions.

What skills do you need to be a data integrity analyst?

A data integrity analyst needs strong analytical skills, attention to detail, and proficiency in data management tools such as SQL and Excel. Knowledge of data governance, quality assurance processes, and basic understanding of database systems are essential for ensuring data accuracy and consistency.

What is data integrity and why is it important?

Data integrity refers to the accuracy, consistency, and reliability of data throughout its lifecycle. It ensures that information is not altered or tampered with during storage, transmission, or retrieval. Maintaining data integrity is critical for making informed business decisions, complying with regulatory requirements, and protecting sensitive information from corruption or unauthorized access.
What are the most commonly searched types of Data Integrity jobs in Chicago, IL? The most popular types of Data Integrity jobs in Chicago, IL are:
What are popular job titles related to Data Integrity jobs in Chicago, IL? For Data Integrity jobs in Chicago, IL, the most frequently searched job titles are:
What job categories do people searching Data Integrity jobs in Chicago, IL look for? The top searched job categories for Data Integrity jobs in Chicago, IL are:
Data Integrity jobs near you
Infographic showing various Data Integrity job openings in Chicago, IL as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $74,480 per year, or $35.8 per hour.

Data Integrity Manager

United Airlines, Inc.

Chicago, IL • On-site

Full-time

This job post has expired today. Applications are no longer accepted.

United Airlines rating

7.9

Company rating: 7.9 out of 10

Based on 342 frontline employees who took The Breakroom Quiz

7th of 26 rated airlines

Job description

Description
Caring is one of United's most important principles. And no one exemplifies that more than our Customer Contact Center team, who helps our customers with everything from booking and managing reservations, to questions about their travel, MileagePlus accounts, and so much more! Are you a people person? Do you get fulfillment from helping others? Then join a team that cares for our customers and makes a positive impact on their travel experience, every single day.
Job Overview and Responsibilities
The Manager of Data Integrity & Knowledge Architecture is responsible for the readiness, structure, and continuous quality of the data and knowledge assets that are leveraged by customer-facing automation platforms. Ensures that the automation has immediate access to clean, verified, and well-structured data. Will bridge the gap between Customer Support & Advocacy operations, Brand, Content, and Data Governance to drive automated and personalized resolutions with the most accurate data.
  • Redesign traditional, human-readable knowledge articles and FAQs into structured, modular data blocks optimized for retrieval-augmented generation (RAG) and semantic search used by Generative AI and agentic
  • Ensure a single source of truth across all channels
  • Establish and enforce strict data quality, deduplication, and standardization rules for customer profile data, transaction histories, and interaction metadata
  • Ensure that standard data is sanitized and formatted across systems so AI models can accurately read and interpret
  • Partner direction with digital technology, customer profile, and data scientists to map out data dependencies required for automation. Audit production journeys to understand real-time experience, latency issues, response accuracy, ability to read/write to internal systems, and enabling automation to perform transactions
  • Create a robust feedback loop by analyzing automated 'fallbacks' or classification failures caused by data gaps. Review transcripts and system logs to identify missing or inaccurate knowledge articles, broken data fields or unmapped backend logic, continuously tuning the data layer to drive customer resolution
  • Collaborate with Information Security and other privacy teams to ensure channels strictly comply with privacy regulations and manage data-masking rules to prevent personally identifiable information (PII) from leaking into LLM training logs or unauthorizied third-parties

Qualifications
What's needed to succeed (Minimum Qualifications):
  • Bachelor's degree or related experience
  • Management Information Systems, Data Science, Informatics, or a related field that is heavily analytical/systems-driving discipline
  • Enterprise content/knowledge management certification or a formal data governance credential
  • 3+ years of experience managing enterprise data quality, master data management (MDM), or content/knowledge base architectures
  • 2+ years working directly within or supporting a complex contact center technology stack
  • Deep expertise in structuring content for optimal search, resue, and machine consumption
  • Understanding how to transition from long-form text documents to modular, snippet-based data structures
  • High literacy regarding how data travels from backend systems to front-end chat/voice interfaces
  • Ability to trace complex customer journey across disparate legacy backends and identify where data silos will break automated conversations
  • Familiarity with Generative AI concepts and prompt writing
  • Exposure to AI platforms such as Copilot, ChatGPT, Gemini, Claude, Perplexity, and NotebookLM
  • Must be legally authorized to work in the United States for any employer without sponsorship
  • Successful completion of interview required to meet job qualification
  • Reliable, punctual attendance is an essential function of the position

What will help you propel from the pack (Preferred Qualifications):
  • Master's degree or related experience
  • Master of Science in Data Governance, Business Analytics, Knowledge Management or equivalent field
  • Data infrastructure certification or platform certification in enterprise knowledge management tools
  • Direct experience preparing corporate data or content management architectures for a large-scale Conversational AI, LLM, or automated self-service deployment that achieved significant deflection/containment metrics
  • Strong conceptual understanding of semantic search function to ground LLMs and reduce AI hallucinations
  • Familiarity with how data is logged, stored, and routed within major platforms
  • AI ethics on string-masking, tokenization, or hashing to protect sensitive customer data at point of intake
  • Hands-on experience using AI tools in projects, internships, or work environment
  • Knowledge of automation platforms such as Power Automate, Copilot Studio, Zapier, or n8n

What United Airlines employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

United Airlines logo

About United Airlines

Sourced by ZipRecruiter

United Airlines is embarking on an exciting journey to become the best airline in aviation history. Our purpose, "Connecting People, Uniting the World," extends beyond transportation, emphasizing our commitment to uplift and create opportunities in the places we serve. With a global presence and diverse workforce, we value inclusivity and are dedicated to hiring tens of thousands of individuals across various roles. Our comprehensive benefits package, including perks like space available travel, parental leave, and 401k, aims to support your well-being and growth.

Industry

Aviation

Company size

10,000+ Employees

Headquarters location

Chicago, IL, US

Year founded

1926

Social media

FacebookTwitter

View All United Airlines Jobs

Apply