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Data Integrity Engineer Jobs in Illinois (NOW HIRING)

Better Trucks

Data Engineering Principal

Chicago, IL · On-site

$150 - $210/hr

Drive data integrity through anomaly detection, quality monitoring, and root-causing discrepancies ... Partner with Analytics Engineering and BI to ensure core data models serve reporting and ...

Groupon

Senior Data Base Engineer

Chicago, IL

$154K - $170K/yr

Partner with data engineering and analytics teams to gather requirements, design data schemas, and ... data integrity standards * Develop and maintain automation scripts for provisioning, monitoring ...

AgileEngine

Senior Data Engineer ID75059

Chicago, IL · On-site

$109K - $148K/yr

ABOUT THE ROLE We are looking for a Senior Data Engineer to design and build scalable data lakes ... in data integrity and the accuracy of the end-to-end pipelines and architectures you build ...

AgileEngine

Senior Data Engineer ID75059

Berwyn, IL · On-site +1

$107K - $146K/yr

ABOUT THE ROLE We are looking for a Senior Data Engineer to design and build scalable data lakes ... in data integrity and the accuracy of the end-to-end pipelines and architectures you build ...

AgileEngine

Senior Data Engineer ID75059

Irving, IL · On-site +1

$92K - $125K/yr

ABOUT THE ROLE We are looking for a Senior Data Engineer to design and build scalable data lakes ... in data integrity and the accuracy of the end-to-end pipelines and architectures you build ...

AgileEngine

Senior Data Engineer ID75059

Irving, IL · On-site

$92K - $125K/yr

ABOUT THE ROLE We are looking for a Senior Data Engineer to design and build scalable data lakes ... in data integrity and the accuracy of the end-to-end pipelines and architectures you build ...

Ask IT consulting

Data Analyst

Chicago, IL

Experience in conducting ETL data validation and data integrity tests on the database using SQL ... Experience in developing functional specifications for business process refinement, re-engineering ...

Dlapiper

Sr Aderant Engineer

Chicago, IL · Hybrid

$107K - $147K/yr

Serves as the primary steward of Aderant core data, ensuring data integrity, consistency, and ... engineering. * Continuously identifies opportunities to improve system performance, data quality ...

Virtusa Corporation

Lead Software Engineer

Chicago, IL · On-site

Data Engineer Location: Chicago, US Office Years of Experience: 5-7 Years Job Summary: We are ... Implement and optimize RDBMS solutions to ensure data integrity and performance. * Collaborate with ...

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Data Integrity Engineer information

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 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 popular job titles related to Data Integrity Engineer jobs in Illinois?

For Data Integrity Engineer jobs in Illinois, the most frequently searched job titles are:

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:

Data Integrity Engineer jobs near you
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.

Data Engineering Principal

Better Trucks

Chicago, IL • On-site

$150 - $210/hr

Other

Posted 9 days ago

Job description

Reporting to the Head of Data, Analytics, and Data Science, you will own the architecture and execution of Better Trucks' core data platform. You will partner closely with Analytics Engineering, BI, Finance, and Operations to turn fragmented, multi-source operational and financial data into standardized, trusted models that the business runs on.

Location: Remote (US) or Hybrid (Chicago)

Key Responsibilities & Requirements Data Platform Ownership
  • Design and build standardized data models that normalize complex, customer- and source-specific data (MongoDB, Postgres, Firestore, carrier and customer systems) into trusted schemas for pricing, finance, and operations.
  • Own core BigQuery and Dataform pipelines, including schema design, incremental modeling patterns, testing, and documentation.
  • Build and operate ingestion into the warehouse via Datastream, Cloud Functions, and custom connectors for systems without clean CDC paths.
  • Set technical direction for orchestration (Composer/Airflow), including job design, dependency management, and cost/performance tradeoffs.
  • Drive data integrity through anomaly detection, quality monitoring, and root-causing discrepancies before they erode trust in reporting.
  • Build internal tools (Python, FastAPI/Flask, occasionally React) that automate operational workflows such as invoicing, ops data feeds, and reporting utilities.
  • Apply AI and LLM-based tooling pragmatically to automate repetitive internal workflows and accelerate data engineering work, without introducing fragile or unmaintainable systems.
  • Partner with Analytics Engineering and BI to ensure core data models serve reporting and forecasting without duplicative downstream logic.
  • Review designs and code from other data engineers, and raise the technical bar without adding unnecessary process.
  • Make build-vs-buy and architecture decisions with profitability, maintainability, and team adoption in mind.
  • 8+ years of data engineering experience, including 2-3+ years operating at a staff/principal level of scope (org-wide architecture decisions, not just pipeline delivery).
  • Deep hands-on expertise in BigQuery or an equivalent cloud data warehouse, and SQL-based transformation tooling such as Dataform or dbt.
  • Strong Python skills for pipeline and tooling work, with experience building and maintaining production services (FastAPI, Flask, or equivalent).
  • Demonstrated experience designing standardized or normalized data models from heterogeneous, complex source systems.
  • Practical experience with workflow orchestration (Airflow, Composer, or equivalent) at production scale.
  • Track record of making data trustworthy, including testing, monitoring, anomaly detection, and incident response for data issues.
  • Strong analytical and communication skills, with the ability to explain technical tradeoffs to non-technical stakeholders in Finance and Operations.
  • Bachelor's degree in Computer Science, Engineering, a related field, or equivalent experience
Qualifications
  • Experience in last mile delivery, parcel logistics, transportation management, or another operationally intensive business where data quality directly affects P&L.
  • Experience with the GCP ecosystem, including Cloud Functions, Datastream, and Firestore.
  • Familiarity with BI tooling such as Looker, and with BI migration or governance efforts.
  • Hands-on experience with LLM-based tooling (e.g. Claude, GPT) for code generation, data pipeline automation, or internal agent/workflow tooling.
  • Experience in a high growth technology company.
Why Join Better Trucks?

Better Trucks is building the next generation of last mile logistics technology. Our software powers the delivery lifecycle from routing and driver assignment to real time operations, customer visibility, and delivery performance. We are looking for a Principal Product Manager to lead our Operations Product Stack and help shape the future of our platform.

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