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Data Integrity Engineer Jobs in Illinois (NOW HIRING)

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.

Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

... e.g., data integrity, privacy, and security controls) Cloud & AutomationDevelop and manage ... experience in data engineering, data platforms, or related roles Hands-on experience with ...

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 ...

Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

Role : Data Engineer Location : Chicago, IL (3days onsite) Experience : Min. 10+ Years Client ... Implement best practices for database security, data integrity, and reliability. * Cloud & Data ...

Data Engineer

Chicago, IL · 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 · 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 ...

Sr. Data Quality Engineer

Chicago, IL · On-site

$118K - $141K/yr

Automation & DevOps: CI/CD for rules, automated testing frameworks, reusable libraries ... Analytical problem-solving with focus on data integrity * High attention to detail & accuracy

Data engineer

Chicago, IL · On-site

$118K - $141K/yr

Executing the physical migration of underlying datasets while ensuring data integrity. c ... Engineer will also need to work with internal data management platforms team and must have an ...

Data Engineer

Chicago, IL

$118K - $141K/yr

Job Title Data Engineer Summary Key Objectives: Supports the development, optimization, and ... Ensure data integrity and consistency across all QIG's inputs and outputs through rigorous ...

Data Engineer

Chicago, IL

$118K - $141K/yr

Job Title Data Engineer Summary Key Objectives: Supports the development, optimization, and ... Ensure data integrity and consistency across all QIG's inputs and outputs through rigorous ...

Data Engineer

Chicago, IL

$118K - $141K/yr

Job Title Data Engineer Summary Key Objectives: Supports the development, optimization, and ... Ensure data integrity and consistency across all QIG's inputs and outputs through rigorous ...

Data Engineer

Chicago, IL

$118K - $141K/yr

Job Title Data Engineer Summary Key Objectives: Supports the development, optimization, and ... Ensure data integrity and consistency across all QIG's inputs and outputs through rigorous ...

Data Quality Engineer

Chicago, IL · Remote

$118K - $141K/yr

As a senior member of the data engineering team, you will be responsible for developing scalable data validation frameworks, ensuring data integrity across pipelines and platforms, implementing ...

Data Quality Engineer

Downers Grove, IL · Remote

$114K - $137K/yr

As a senior member of the data engineering team, you will be responsible for developing scalable data validation frameworks, ensuring data integrity across pipelines and platforms, implementing ...

Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

This role is focused on engineering robust data pipelines, automating model workflows, and ensuring the integrity and scalability of forecasting systems. Operate as a self-sufficient data ...

AI Data Engineer

Moline, IL · On-site

$103K - $124K/yr

Optimize database performance and ensure data integrity. Collaboration: Work closely with Data Scientists, AI Engineers, and other stakeholders to ensure data is properly structured for machine ...

Databricks Engineer

Chicago, IL · On-site

$118K - $141K/yr

... e.g., data integrity, privacy, and security controls) Cloud & AutomationDevelop and manage ... experience in data engineering, data platforms, or related roles Hands-on experience with ...

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Data Integrity Engineer information

What are the 4 types of data integrity?

Data integrity in a Data Integrity Engineer role refers to the accuracy, consistency, and reliability of data throughout its lifecycle. The four main types are physical integrity (protection against physical damage), logical integrity (accuracy and consistency of data within databases), referential integrity (maintaining valid relationships between data), and data integrity constraints (rules enforcing data validity). Ensuring these types are maintained often involves using database management tools, validation processes, and security measures.

What is the difference between Data Integrity Engineer vs Data Quality Analyst?

AspectData Integrity EngineerData Quality Analyst
Primary FocusEnsuring accuracy, consistency, and security of data across systemsAssessing and improving data quality, completeness, and usability
Skills & CertificationsDatabase management, SQL, data governance, certifications like CDMPData analysis, data profiling, quality frameworks, certifications like CDMP
Work EnvironmentIT teams, data engineering, database administrationBusiness analysis, data analysis teams, quality assurance
Industry UsageTech, finance, healthcare, where data security is criticalRetail, marketing, finance, focusing on data usability

While both roles focus on data, Data Integrity Engineers primarily ensure data security and consistency across systems, whereas Data Quality Analysts focus on assessing and improving data quality for business insights. Both roles often collaborate but serve distinct functions within data management.

What are the key skills and qualifications needed to thrive as a Data Integrity Engineer, and why are they important?

To thrive as a Data Integrity Engineer, you need strong analytical skills, a background in computer science or information systems, and experience with data management principles. Familiarity with database platforms (such as SQL), data validation tools, and knowledge of regulatory compliance standards are typically required. Attention to detail, problem-solving ability, and effective communication help ensure data accuracy and facilitate collaboration across teams. These skills are critical for maintaining reliable, secure, and compliant data systems that support informed business decisions.

What engineers make $300,000 a year?

Senior engineers in specialized fields such as data engineering, software engineering, or machine learning engineering can earn $300,000 or more annually, especially with extensive experience, advanced skills, and working in high-demand industries or companies. Compensation often includes base salary, bonuses, and stock options, and requires strong technical expertise and certifications.

What engineers make $500,000?

Senior data integrity engineers, especially those with extensive experience, advanced certifications, and expertise in database management, data governance, and security, can earn salaries approaching or exceeding $500,000 annually in high-paying industries or companies. Compensation often includes base salary, bonuses, and stock options, particularly in technology or finance sectors.

Can I make 200k as a data engineer?

Data engineers can earn $200,000 or more annually, especially with experience, advanced skills in cloud platforms, big data tools, and certifications. Salaries vary by location, industry, and company size, with senior roles and specialized expertise commanding higher pay.

What are Data Integrity Engineers?

Data Integrity Engineers are professionals responsible for ensuring the accuracy, consistency, and reliability of data within an organization’s systems. They design and implement processes to prevent data corruption, loss, or unauthorized modification. These engineers work closely with database administrators, data analysts, and IT teams to monitor data flows, validate data quality, and enforce data governance policies. Their role is crucial in industries where high-quality data is essential for decision-making, compliance, and operational efficiency.

What are some common challenges Data Integrity Engineers face when ensuring data quality across large, complex systems?

Data Integrity Engineers often encounter challenges such as managing data consistency across multiple databases, identifying and resolving discrepancies caused by data migrations, and ensuring compliance with regulatory standards. Additionally, they must frequently collaborate with software developers and database administrators to implement automated validation processes and address data anomalies promptly. Staying updated with evolving best practices and tools is crucial, as data environments and requirements can change rapidly in large organizations.
What job categories do people searching Data Integrity Engineer jobs in Illinois look for? The top searched job categories for Data Integrity Engineer jobs in Illinois are:
What cities in Illinois are hiring for Data Integrity Engineer jobs? Cities in Illinois with the most Data Integrity Engineer job openings:
Infographic showing various Data Integrity Engineer job openings in Illinois as of July 2026, with employment types broken down into 1% As Needed, 87% Full Time, 10% Part Time, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Package & SI/PI - Signal and Power Integrity Engineer

Eliyan

Mundelein, IL • On-site

$170K/yr

Full-time

Posted 6 days ago


Job description

Join the leading chiplet startup from the ground floor! As a Signal and Power Integrity Engineer, you will provide packaging solutions for chiplet interconnects in a fast-paced early-stage startup creating technologies that fuel tomorrow’s chiplet-based systems with best-in-class power, area, manufacturability, and design flexibility. You will be responsible for design, modeling, manufacturing, assembly, and testing of traditional and advanced packaging for Eliyan’s chiplet solutions. You will work with a cross-functional team of industry experts that operate from first principles, innovate and push the envelope to create high-volume and high-performance manufacturable products. We offer a fun work environment with excellent benefits.
Key Responsibilities
  • Working closely with analog circuit designers to understand and define IO requirements co-designed with the channel
  • Responsible for pre-layout and post layout channel simulation and optimization to achieve the best performance
  • Using driver/receiver models to run transient channel simulation, inspect eye diagrams, and improve the performance
  • Applying best practices for the design of power delivery networks, extracting models, and performing DC/AC/transient simulations
  • Understanding substrate and interposer manufacturing design rules, assembly requirements, and driving the layout engineers to implement them
  • Performing measurements in the lab, correlating with simulation, identifying issues and providing solutions
Qualifications
  • Expertise in signal integrity and power integrity simulation methodologies
  • Experience with simulation tools such as HFSS, Q3D, Siwave, PowerDC, PowerSI, ADS, Spectre, HSPICE, Allegro
  • Knowledge of using lab equipment such as Vector Network Analyzer, Spectrum Analyzer, High-Frequency Oscilloscope
  • BS degree in EE or equivalent, with 5 years of experience
  • Will not relocate for this role a this time and onsite required
Ideal Qualifications
  • Previous experience of IC packaging, manufacturing, and advanced package design
  • Knowledge of SERDES design, IBIS-AMI model creation
  • MS degree in EE or equivalent, with 7 years of experience

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.