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Data Integrity Engineer Jobs in Illinois (NOW HIRING)

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 ...

The Data Engineer will be responsible for designing, developing, and maintaining scalable cloud and ... Implement and support data governance policies, standards, and procedures to promote data integrity ...

Sr. Software Engineer TECHM-JOB-25341

Chicago, IL · On-site

$126K - $166K/yr

The main purpose of the role is to develop and optimize APIs while ensuring data integrity and security. Responsibilities : • API Engineer • Performance Optimization • Deployment strategies ...

Our data engineering internship is an intensive 10‑week program responsible for developing and ... firm‑wide data integrity * Comfortability with Claude Code * Reliable and predictable ...

Sr. Software Engineer, Data Products

Chicago, IL · On-site

$118K - $141K/yr

This is a software engineering role in the data domain. You will build APIs, backend services ... and data integrity. * Experience with unit and integration testing and diagnosing production ...

DATA Architect

Chicago, IL · On-site

$65.75 - $84.50/hr

... integrity. • Data Modeling for Snowflake and Databricks: Develop efficient data models for cloud ... Expertise in Airflow for data pipeline orchestration. • Programming: Advanced proficiency in ...

$120 - $160/hr

... integrity, compassion and empowerment. We engage people in whole person's health through an ... The Senior Data Engineer plays a critical role within the Business Intelligence team, designing ...

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Showing results 21-40

Data Integrity Engineer information

What is a data integrity engineer?

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 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 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 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 August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

AI Data Engineer

Instant Serve LLC

Moline, IL • On-site

$103K - $124K/yr

Other

Re-posted 27 days ago


Job description

For more details contact at Ella.s@iserveworld.com

Job Title: AI Data Engineer

Location: Moline,IL

Pay Rate:USD$60.00 $65.00 /hr.with benefits

Key Responsibilities

Data Engineering: Design, develop, and manage data pipelines to handle and process large datasets with a focus on scalability and efficiency.

Langchain Integration: Utilize Langchain to build and optimize AI workflows, automate processes, and enhance AI model capabilities with data-driven features.

Cloud Data Infrastructure: Manage and scale data infrastructure on AWS, using services such as S3, EC2, Lambda, Redshift, and others.

SQL & Database Expertise: Write complex SQL queries for data extraction, transformation, and analysis. 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 learning models and other analytics use cases.

Data Quality & Governance: Monitor data quality, create processes for error handling, and ensure compliance with data privacy regulations and best practices.

Performance Optimization: Continuously optimize and fine-tune data processing pipelines and database queries for better performance and scalability.

Documentation: Maintain detailed documentation on the architecture, data processes, and code to ensure smooth collaboration and knowledge transfer.

Requirements

3+ years of experience as a Data Engineer, with a focus on AI or machine learning data pipelines.

Hands-on experience with Langchain for building and optimizing AI workflows and automation.

Strong experience with large-scale data management, including working with distributed systems and processing massive datasets.

Proficient in SQL and experience with relational databases (e.g., PostgreSQL, MySQL, SQL Server) and NoSQL databases.

Extensive experience with AWS, including services like S3, EC2, Lambda, Redshift, and RDS.

What are the 3-4 non-negotiable requirements of this position?
Experience: 3+ years of experience as a Data Engineer, with a focus on AI or machine learning data pipelines. Hands-on experience with Langchain for building and optimizing AI workflows and automation. Strong experience with large-scale data management, including working with distributed systems and processing massive datasets. Proficient in SQL and experience with relational databases (e.g., PostgreSQL, MySQL, SQL Server) and NoSQL databases. Extensive experience with AWS, including services like S3, EC2, Lambda, Redshift, and RDS. Technical Skills: Proficient in Python Strong understanding of database design, data modeling, and query optimization. Familiarity with data warehousing concepts and tools. Exerience working with data pipelines and workflow orchestration tools like Apache Airflow, or similar. Knowledge of AI and machine learning concepts, particularly around data preprocessing and feature engineering. Education: Bachelor's or Master's degree in Computer Science, Data Engineering, Artificial Intelligence, or a related field.

What are the nice-to-have skills?
Preferred Qualifications: Experience with Apache Spark, Kafka, or other big data technologies. Familiarity with containerization (Docker, Kubernetes) for deploying scalable data solutions. Knowledge of AI-specific data workflows, including data preparation for natural language processing, computer vision, or other AI applications.


InstantServe logo

About InstantServe

Sourced by ZipRecruiter

InstantServe provides a one-stop solution to all Healthcare, IT/Non-IT Staffing needs. Established in 2016, InstantServe is a strong workforce of over 100+ go-getters with a demonstrated background in IT/Non-IT service. We are a nationally certified SBE from the Department of Administration (State of PA). As a proud Minority Woman Owned Small Business Enterprise (M/WBE), InstantServe boasts of a strong team of professionals who have extensive experience catering to several Federal, Public, Commercial, and Healthcare Clients which includes 26 States and 46 government agencies. InstantServe is a client-centric organization that offers cost-effective and reliable solutions. Client satisfaction is sacrosanct! Our team strives to provide the best staffing and IT solutions to take your business to the next level.

Industry

Recruiting and staffing services

Company size

11 - 50 Employees

Headquarters location

Wayne, PA, US

Year founded

2016

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