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Data Integrity Jobs in Chicago, IL (NOW HIRING)

Data Engineer

Chicago, IL ยท 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 ...

Maintain data standards and ensure data integrity across multiple platforms * Partner with cross-functional teams to improve campaign execution, reporting, and decision-making Required Qualifications ...

Data Engineer (Remote)

Chicago, IL ยท Remote

$117K - $140K/yr

Design systems that preserve data integrity and support auditability Automation & Process Improvement * Develop scripts and tools (primarily in Python or similar) to automate workflows * Reduce ...

This role combines technical expertise, analytical capabilities, and process ownership to ensure data integrity, support scalable governance, and enable business-critical operations. This position ...

Data Validation Risk - Director

Chicago, IL ยท On-site

$155K - $410K/yr

You are expected to be a guardian of PwC's reputation, understanding that quality, integrity ... Responsibilities - Leading data validation and risk management initiatives to support client ...

Sr. Data Quality Engineer

Chicago, IL ยท On-site

$118K - $141K/yr

Analytical problem-solving with focus on data integrity * High attention to detail & accuracy * Strong communication across technical/non-technical teams * Ability to influence standards & enterprise ...

Experience in conducting ETL data validation and data integrity tests on the database using SQL queries. * Experience creating business requirements for data migration from source applications to ...

Data Engineer

Chicago, IL ยท On-site

$175K - $225K/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 ...

Data Engineer

Chicago, IL ยท On-site

$175K - $225K/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 ...

This role is crucial in ensuring data integrity, optimizing manufacturing processes, and transforming data into actionable insights through interactive visualizations. Key Responsibilities: Database ...

Showing results 21-40

Data Integrity information

See Chicago, IL salary details

$11

$35

$81

How much do data integrity jobs pay per hour?

As of Aug 8, 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:
Infographic showing various Data Integrity job openings in Chicago, IL as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $74,480 per year, or $35.8 per hour.

Data Transformation Manager

Strongpoint Partners

Chicago, IL โ€ข On-site

Full-time

Medical, Dental, Vision, Life, PTO

Posted 18 days ago


Job description

Who we are:
Strongpoint Partners is tech-enabled retirement services platform serving small- to mid-sized businesses with integrated retirement third party administration, recordkeeping, payroll, and HR solutions. Recognized as one of Inc. 5000's Fastest Growing Private Companies in America and certified as a Great Place to Work, Strongpoint offers a suite of services that prioritizes accuracy, compliance, and reduction of regulatory risk for its clients, delivered by local client success teams that understand the nuances of the markets they serve. With a coast-to-coast network of 19 leading firms including HowardSimon ("HSR"), Jocelyn Pension Consulting ("JPC"), Retirement Strategies Group ("RSG"), Retirement Planners and Administrators ("RPA"), Pension Financial Services ("PFS"), Pollard & Associates ("PA"), Carlson Quinn ("CQ"), SI GROUP ("SIG"), Retirement Planning Consulting Group ("RPCG"), Karel-Gordon & Associates ("KGA"), Cash Balance Actuaries ("CBA"), Pension Consultants, Inc. ("PCI"), Actuaries Unlimited ("AUI"), California Retirement Plans ("CRP"), Benefit Equity ("BEI"), United Benefit Pensions, Inc. ("UBP"), Creative Retirement Systems ("CRS"), Associated Pension Consultants ("APC"), Allied Consultants, Inc. ("ACI"), American Retirement Plan Services, LLC ("ARPS"), and SMS Retirement ("SMS"). Strongpoint Partners combines a relentless passion for service and innovation with the experience and expertise required to make retirement work for everyone. For more information, please visit: www.strongpointpartners.com.
Position Summary:
Strongpoint Partners is seeking a Data Transformation Manager to join our Data & Analytics team. This role plays a critical part in analyzing and interpreting complex data sets while leading the transformation and migration of data across core business systems. The Data Transformation Manager is responsible for ensuring accurate, efficient, and seamless data conversions while maintaining enterprise-wide data quality, hygiene, and coverage.
In addition to hands-on data transformation and migration work, this role is accountable for designing, building, and maintaining automated tools that monitor data quality, identify gaps, and improve overall data integrity. The ideal candidate combines strong technical expertise with an analytical mindset and is passionate about leveraging AI and automation to scale data operations across the organization.
PLEASE NOTE: This is a hybrid position based in our Chicago, Illinois office, with an expectation of three days per week in the office.
Key Responsibilities:
  • Define, monitor, and improve data integration speed and coverage KPIs while owning process design and implementation.
  • Maintain accountability for enterprise-wide data hygiene and coverage by establishing data quality standards and partnering with cross-functional teams.
  • Design, build, and maintain automated tools that monitor data quality, coverage, and integrity while identifying inconsistencies or missing data.
  • Leverage AI tools, including ChatGPT and Claude, to improve data transformation processes, automate monitoring, and enhance coverage detection.
  • Analyze existing data structures and formats while collecting, cleaning, validating, and transforming data from multiple sources.
  • Collaborate with cross-functional teams to understand business requirements and ensure successful data conversions.
  • Utilize SQL, Python, JavaScript, and other tools to manipulate, validate, and transform data.
  • Create and maintain documentation for data mappings, conversion processes, and transformation logic.
  • Troubleshoot data conversion issues and implement timely, long-term solutions.
  • Identify opportunities for process improvements and automation to increase efficiency.
  • Conduct post-conversion validation to ensure data integrity and accuracy.
  • Analyze structured and unstructured datasets using statistical methods and data visualization tools.
  • Communicate project progress, challenges, and outcomes to technical and non-technical stakeholders.

Minimum Qualifications:
  • Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, a related business discipline, or equivalent experience.
  • 5-7 years of experience in data transformation, analytics, data engineering, or a related field.
  • Proficiency with SQL, PostgreSQL, Python, JavaScript, or similar programming languages.
  • Experience with data visualization tools such as Power BI or Tableau.
  • Strong understanding of database management principles, data manipulation techniques, and data governance best practices.
  • Demonstrated experience owning enterprise-level data quality or governance initiatives.
  • Experience designing or implementing automated data monitoring, validation, or alerting systems.
  • Strong analytical and problem-solving skills with the ability to work with large, complex datasets.
  • Excellent written and verbal communication skills with the ability to communicate technical concepts to diverse audiences.
  • Strong organizational skills, attention to detail, and the ability to manage multiple priorities.
  • Ability to work independently and collaboratively in a fast-paced environment.
  • Consulting experience and certifications in Snowflake, Power BI, dbt, or related technologies are a plus.

Pay Transparency Statement:
The anticipated pay range for this position is $100,000-120,000 annually.
At Strongpoint Partners, our salary ranges reflect the minimum and maximum base pay for the posted position applicable to all locations across the US. Within the posted salary range, individual pay is determined by the geographic location, job related skills, experience, education, and certifications. Our total compensation package includes base pay plus a comprehensive benefits program.
Our Value-Driven Employee Experience:
  • Flexible Workplace - Hybrid and remote options available for many roles.
  • Flexible PTO - Competitive paid time off, including flexible & unlimited options.
  • Inclusive Environment - A culture that values diversity, collaboration, and respect.
  • Growth Opportunities - Support for ongoing learning and career development.
  • Comprehensive Benefits - Health, dental, vision, life, and disability coverage.
  • Workplace Perks - Incentive bonus programs, flexible hours, & more.

**Specific benefits and programs may vary by partner and position.