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Data Governance Engineer Jobs in Chicago, IL (NOW HIRING)

1 point system

Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

... Quality, Governance & ControlsImplement data quality checks, reconciliation processes, and ... experience in data engineering, data platforms, or related roles Hands-on experience with ...

Cesco

Data Engineer

Elk Grove Village, IL · On-site

$113K - $135K/yr

Engineer governance, validation, and error-handling directly into pipeline design rather than relying on downstream policy; monitor pipeline health and proactively resolve data integrity issues.

Kemper

Data Quality Engineer

Chicago, IL · Remote

$118K - $141K/yr

Kemper is seeking a Data Quality Engineer specializing in Data Testing and Quality Engineering to ... Data Governance and Compliance Ensure compliance with enterprise data governance, security, and ...

Kemper

Data Quality Engineer

Downers Grove, IL · Remote

$114K - $137K/yr

Kemper is seeking a Data Quality Engineer specializing in Data Testing and Quality Engineering to ... Data Governance and Compliance Ensure compliance with enterprise data governance, security, and ...

The Joint Commission

Data Engineer

Oak Brook, IL · On-site

$125 - $150/hr

Apply data governance, quality, and reliability principles in daily engineering work. Business Intelligence & Analytics Support * Build reusable data models and curated datasets to enable self ...

Brunswick

Adobe Products Data Engineer

Mettawa, IL · On-site

$87K - $128K/yr

Contribute to data governance best practices, including data usage standards and process ... Engineering, or a related technical field - Hands-on experience with: * Adobe Experience Platform ...

Lund Boats

Adobe Products Data Engineer

Mettawa, IL

$87K - $128K/yr

Contribute to data governance best practices, including data usage standards and process ... Engineering, or a related technical field - Hands-on experience with: * Adobe Experience Platform ...

Joint Commission

Data Engineer

Villa Park, IL

$107K - $143K/yr

... governance, quality, and reliability principles in daily engineering work. Business Intelligence & Analytics Support · Build reusable data models and curated datasets to enable self-service ...

Joint Commission

Data Engineer

Villa Park, IL · On-site

$107K - $143K/yr

... governance, quality, and reliability principles in daily engineering work. Business Intelligence & Analytics Support • Build reusable data models and curated datasets to enable self-service ...

Pwc

Data Engineer - Senior Manager

Rosemont, IL

$124K - $280K/yr

... data governance and data security policies, and collaborating with business stakeholders to ... Engineer, Google Professional Cloud Architect, GCP Data Engineer Microsoft Azure Solutions ...

Pwc

Data Engineer - Senior Manager

Chicago, IL

$124K - $280K/yr

... data governance and data security policies, and collaborating with business stakeholders to ... Engineer, Google Professional Cloud Architect, GCP Data Engineer Microsoft Azure Solutions ...

TekShapers

Salesforce Data Cloud Developer

Chicago, IL · On-site

Salesforce Data Cloud Developer Location : Chicago, IL Duration : Long term Day one onsite (Hybrid ... Data Governance, Quality & Security * Establish data governance -- ownership, stewardship, quality ...

Collegis LLC

Data Engineer

Oak Brook, IL · On-site

$80K - $110K/yr

Ensure data quality and governance by implementing data quality processes and workflows ... Document data engineering activities and processes. * Lead technical partner engagements. * Adhere ...

Collegis Education

Data Engineer

Oak Brook, IL · On-site

$115K - $138K/yr

Ensure data quality and governance by implementing data quality processes and workflows ... Document data engineering activities and processes. * Lead technical partner engagements. * Adhere ...

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Showing results 21-40

All JobsData Governance Engineer JobsData Governance Engineer Jobs in Chicago, IL

Data Governance Engineer information

See Chicago, IL salary details

$45.8K

$133.6K

$182.9K

How much do data governance engineer jobs pay per year?

As of Sep 7, 2026, the average yearly pay for data governance engineer in Chicago, IL is $133,627.00, according to ZipRecruiter salary data. Most workers in this role earn between $118,000.00 and $141,600.00 per year, depending on experience, location, and employer.

What is a data governance engineer?

Data Governance Engineers are professionals responsible for designing, implementing, and maintaining systems and processes that ensure data is accurate, consistent, secure, and compliant with relevant regulations. They work closely with data stewards, IT teams, and business units to create data policies, manage metadata, and oversee data quality initiatives. Their role is crucial in helping organizations maximize the value of their data assets while minimizing risks related to data privacy and misuse.

What are the key skills and qualifications needed to thrive as a data governance engineer?

To thrive as a Data Governance Engineer, you need a solid understanding of data management principles, metadata standards, data quality frameworks, and typically a degree in computer science, information systems, or a related field. Familiarity with data governance tools like Collibra, Informatica, or Alation, as well as proficiency in SQL, data modeling, and regulatory compliance frameworks such as GDPR, is essential. Strong analytical thinking, attention to detail, and effective communication skills are crucial for collaborating with stakeholders and ensuring adherence to data policies. These skills and qualities are vital to maintain data integrity, compliance, and support informed business decision-making.

How does a data governance engineer typically collaborate with data stewards and business units to ensure data quality?

A Data Governance Engineer works closely with data stewards and various business units to define, implement, and monitor data quality standards. This involves facilitating cross-functional meetings, translating business requirements into technical data policies, and creating automated processes to enforce those standards. Regular collaboration ensures that data assets are accurate, secure, and compliant with regulations, while also supporting business goals. By acting as a bridge between technical teams and business stakeholders, Data Governance Engineers help foster a culture of data accountability and transparency.

Is data governance a good career?

Data Governance Engineer is a growing role focused on managing data quality, security, and compliance within organizations. It requires knowledge of data management tools, policies, and regulations, making it a stable and in-demand career path with opportunities for advancement. The field offers a blend of technical and strategic work, suitable for those interested in data integrity and organizational compliance.

What does a data governance engineer do?

A data governance engineer is responsible for establishing and maintaining data management policies, standards, and procedures to ensure data quality, security, and compliance. They often work with data catalogs, metadata management tools, and collaborate with data stewards and IT teams to implement data governance frameworks. Strong knowledge of data privacy regulations and data modeling is essential for this role.

What are popular job titles related to Data Governance Engineer jobs in Chicago, IL?

For Data Governance Engineer jobs in Chicago, IL, the most frequently searched job titles are:

What job categories do people searching Data Governance Engineer jobs in Chicago, IL look for?

The top searched job categories for Data Governance Engineer jobs in Chicago, IL are:

What cities near Chicago, IL are hiring for Data Governance Engineer jobs?

Cities near Chicago, IL with the most Data Governance Engineer job openings:

Data Governance Engineer jobs near you
Infographic showing various Data Governance Engineer 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 $133,732 per year, or $64.3 per hour.

Data Engineer

1 point system

Chicago, IL • On-site

$118K - $141K/yr

Contractor

Re-posted 12 days ago

Job description

Job Description:

Key Responsibilities

Data Engineering & Pipeline DevelopmentDesign, develop, and maintain end-to-end data pipelines in Databricks using Spark and Delta Lake
Build and optimize ELT/ETL processes for structured and unstructured data ingestion into the Data Lakehouse
Implement scalable ingestion patterns (batch and event-driven) from internal systems, third-party APIs, and cloud sources
Develop data models (bronze, silver, gold layers) to support enterprise reporting, analytics, and downstream consumption
Data Platform & IntegrationIntegrate the Data Lakehouse with enterprise tools such as Tableau, Alteryx, and machine learning platforms
Design and implement data access controls, identity management, and secure data sharing mechanisms
Support API-based integrations and downstream data consumption patterns
Data Quality, Governance & ControlsImplement data quality checks, reconciliation processes, and monitoring within Databricks pipelines
Ensure adherence to enterprise data governance standards, including lineage, metadata, and audit requirements
Support regulatory and compliance requirements (e.g., data integrity, privacy, and security controls)
Cloud & AutomationDevelop and manage workflows using orchestration tools (e.g., Airflow, Control-M)
Automate data pipelines, deployments, and operational processes through CI/CD pipelines
Leverage cloud-native services (AWS/Azure) for data processing, storage, and event-driven architectures
Operations & SupportMonitor, troubleshoot, and optimize data pipelines and Spark workloads for performance and reliability
Support production data platforms, including incident resolution and root cause analysis
Ensure high availability, data integrity, and SLA adherence across enterprise data systems
CollaborationPartner with data architects, data scientists, BI teams, and business stakeholders to deliver data solutions
Participate in Agile ceremonies and contribute to iterative delivery of data products
Translate business requirements into scalable technical data solutions

Required Qualifications

8+ years of experience in data engineering, data platforms, or related roles
Hands-on experience with Databricks, Apache Spark (PySpark), and Delta Lake
Strong SQL and data modeling skills (relational and dimensional)
Experience building and supporting data pipelines in a cloud environment (AWS or Azure)
Experience with ELT/ETL tools (e.g., Fivetran, custom ingestion frameworks)
Familiarity with data orchestration tools (Airflow, Control-M)
Experience working in Agile development environments
Preferred QualificationsExperience in financial services or regulated environments (e.g., banking, risk, regulatory reporting)
Knowledge of data governance frameworks and tools (e.g., Collibra)
Experience with real-time or streaming data pipelines
Exposure to machine learning pipelines and feature engineering in Databricks
Cloud certifications (AWS, Azure, or Databricks)
Technical SkillsDatabricks (Lakehouse architecture, notebooks, jobs, Unity Catalog)
Spark / PySpark
SQL (advanced querying and optimization)