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Metadata Assistant Jobs in Chicago, IL (NOW HIRING)

Senior Data AI Engineer

Chicago, IL · On-site

$109K - $148K/yr

At CNA, we strive to create a culture in which people know they matter and are part of something ... metadata, and data quality frameworks for enterprise-scale data solutions. * Strong experience ...

Senior Data AI Engineer

Chicago, IL

$109K - $148K/yr

At CNA, we strive to create a culture in which people know they matter and are part of something ... metadata, and data quality frameworks for enterprise-scale data solutions. * Strong experience ...

Ab Initio Co-Op, GDE, Control Center, Metadata hub, UNIX shell Scripting, Control-M, DB2, SQL Job ... Data Mock-ups for specific test scenarios. * Assist Development and System Analysis teams for any ...

Data Modeler

Chicago, IL · On-site

$56.50 - $73.25/hr

Validate data models for data integrity, accuracy, and consistency. Assist in the selection and ... Experience in a metadata field of work (ontology, taxonomy, or semantics). Knowledge of W3C ...

Master Data Management Engineer

Chicago, IL

$118K - $141K/yr

Document metadata in Azure Purview and GCP Dataplex thoroughly to allow peers to assist with support as needed * Provide technical assistance and task delegation to a flexible team of staff engineers ...

SAS Metadata Management - user management, defining libraries, setting permissions and access ... Able to assist with modifying SAS code to leverage SAS Grid process capabilities to reduce run ...

SAS Metadata Management - user management, defining libraries, setting permissions and access ... assist with modifying SAS code to leverage SAS Grid process capabilities to reduce run times and ...

HR Data Governance Analyst

Chicago, IL · On-site

$95K - $162K/yr

Metadata management and information architecture * Data quality management * Data and records retention * Assist HR data owners and stewards in understanding and meeting governance requirements ...

Metadata management and information architecture * Data quality management * Data and records retention * Assist HR data owners and stewards in understanding and meeting governance requirements ...

HR Data Governance Analyst

Chicago, IL · On-site

$95K - $162K/yr

Metadata management and information architecture * Data quality management * Data and records retention * Assist HR data owners and stewards in understanding and meeting governance requirements ...

Data Specialist Data Specialist to assist with enabling BI (Business Intelligence) datasets to ... data quality, metadata management, data governance etc * Troubleshoot on complex problems and ...

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Metadata Assistant information

See Chicago, IL salary details

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$39

How much do metadata assistant jobs pay per hour?

As of Jun 29, 2026, the average hourly pay for metadata assistant in Chicago, IL is $21.21, according to ZipRecruiter salary data. Most workers in this role earn between $16.59 and $23.27 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Metadata Assistant, and why are they important?

To thrive as a Metadata Assistant, you need a detail-oriented mindset, familiarity with metadata standards, and a background in library science or information management. Experience with cataloging systems, library management software, and knowledge of standards such as MARC or Dublin Core is commonly required. Strong organizational skills, accuracy, and effective communication help you excel in updating and maintaining metadata records. These skills ensure the accurate organization, retrieval, and accessibility of digital and physical information resources.

What are Metadata Assistants?

Metadata Assistants are professionals who support the organization, management, and maintenance of metadata in libraries, archives, museums, or digital collections. Their primary role involves creating, editing, and ensuring the accuracy of metadata records, which helps users locate and access resources efficiently. They may also assist with data entry, quality control, and the application of cataloging standards. Metadata Assistants work closely with librarians, archivists, and other information professionals to maintain high-quality information systems.

What is the difference between Metadata Assistant vs Data Entry Clerk?

AspectMetadata AssistantData Entry Clerk
Required SkillsKnowledge of metadata standards, attention to detail, basic database skillsTyping accuracy, data input, basic computer skills
Work EnvironmentLibraries, archives, digital repositoriesOffices, administrative settings
CertificationsOften none, but familiarity with cataloging standards helpsNone typically required
Industry UsageLibraries, museums, digital asset managementVarious industries, administrative roles

The main difference is that Metadata Assistants focus on organizing and maintaining digital or physical metadata to improve asset retrieval, while Data Entry Clerks primarily input and manage data accuracy in databases. Metadata Assistants require knowledge of metadata standards and work in specialized environments, whereas Data Entry Clerks perform general data input tasks across various industries.

What are some common challenges faced by Metadata Assistants, and how can they be addressed?

Metadata Assistants often encounter challenges such as ensuring data accuracy, maintaining consistency across different cataloging standards, and managing large volumes of information. Staying up-to-date with changing metadata standards and mastering various database systems can also be demanding. To address these challenges, it’s helpful to participate in ongoing professional development, collaborate closely with catalogers and IT staff, and utilize quality control tools to regularly audit and correct metadata entries. Building strong communication skills and being detail-oriented are key assets in this role.
What are the most commonly searched types of Metadata jobs in Chicago, IL? The most popular types of Metadata jobs in Chicago, IL are:
What are popular job titles related to Metadata Assistant jobs in Chicago, IL? For Metadata Assistant jobs in Chicago, IL, the most frequently searched job titles are:
What job categories do people searching Metadata Assistant jobs in Chicago, IL look for? The top searched job categories for Metadata Assistant jobs in Chicago, IL are:
Infographic showing various Metadata Assistant job openings in Chicago, IL as of June 2026, with employment types broken down into 8% Internship, 72% Full Time, 11% Part Time, 4% Temporary, and 5% Contract. Highlights an 80% In-person, and 20% Remote job distribution, with an average salary of $44,109 per year, or $21.2 per hour.
Senior Data AI Engineer

Senior Data AI Engineer

CNA

Chicago, IL • On-site

$109K - $148K/yr

Full-time

Posted 19 days ago


Job description

You have a clear vision of where your career can go. And we have the leadership to help you get there. At CNA, we strive to create a culture in which people know they matter and are part of something important, ensuring the abilities of all employees are used to their fullest potential.
Senior Data/AI Engineer is an individual contributor role responsible for designing, building, and modernizing production-grade data pipelines and data solutions across hybrid cloud and on-premise environments. The role applies expertise in AI-assisted development tools, strong engineering judgment, and modern data engineering practices to integrate structured, semi-structured, and unstructured data across complex enterprise ecosystems, leveraging both legacy platforms and cloud-native technologies to deliver scalable, secure, resilient, and high-quality solutions that improve speed to delivery, operational reliability, and business value.
JOB DESCRIPTION:
Essential Duties & Responsibilities
Performs a combination of duties in accordance with departmental guidelines:
  • Serves as a key team member who delivers results and creates value for the CNA brand, customers, and internal stakeholders, while collaborating effectively with external and offshore resources as needed.

  • Demonstrate hands-on experience using AI-assisted development tools to accelerate engineering tasks such as pipeline creation, code generation, testing, and troubleshooting

  • Apply strong engineering judgment when working with AI-generated outputs, ensuring alignment with enterprise standards for quality, security, and data handling

  • Design and build data pipelines that support multi-modal data, including structured, semi-structured, and unstructured sources (e.g., transactional data, documents, and external data feeds)

  • Build and modernize data pipelines across hybrid environments (on-premise and cloud), incorporating automation, observability, and resiliency by design

  • Designs, builds, and enhances large-scale data processing systems and data lakes on Google Cloud Platform, optimizing for computational and storage efficiency while applying strong expertise in data modeling and engineering best practices.

  • Operate effectively in complex, multi-entity and multi-national system landscapes, integrating internal platforms and external data providers

  • Bring familiarity with both legacy enterprise data tools (e.g., ETL/ELT platforms, relational databases) and modern cloud-native data and integration services

  • This role is not focused on experimentation alone - it is focused on applying AI in a disciplined, production-grade engineering environment to drive measurable improvements in delivery speed, quality, and operational reliability

  • May lead or sub-lead the design of complex physical data models, projects and cloud-based data lake constructs including SQL/NoSQL database systems.

  • May lead or sub-lead the creation of integrated data views based on business or analytics requirements.

  • May lead or sub-lead robust unit testing to ensure deliverables match the design and provide expertise to support subsequent release testing.

  • Actively adheres to established quality and reliability standards, and ensures team adheres to the same quality and standards working in an Agile development environment.

  • Research, identifies and implements process improvements that address complex technology gaps. Builds strong knowledge of technology enablers.

  • May lead or sub-lead the design and building of data solutions and applications that enable reporting, analytics, data science, and data management.

  • Maintains professional and technical knowledge by attending educational workshops; reviewing professional publications; establishing personal networks; participating in professional societies. Drives the evolution of CNA application development processes and standards.

May perform additional duties as assigned.
Reporting Relationship
Typically Director or above
Skills, Knowledge & Abilities
  • Strong knowledge of data architecture, relational and NoSQL database concepts, ETL/ELT patterns, dimensional modeling, metadata, and data quality frameworks for enterprise-scale data solutions.

  • Strong experience designing and building scalable data integration and pipeline solutions with a focus on accuracy, observability, resiliency, performance optimization, and ease of consumption.

  • Proficiency in Python and advanced SQL for large-scale, complex datasets, with hands-on experience using AI-assisted development tools to accelerate coding, testing, troubleshooting, and engineering productivity.

  • Strong communication, collaboration, and stakeholder engagement skills, with the ability to apply sound engineering judgment and work effectively across highly matrixed, cross-functional, and global teams.

  • Preferred experience building data and analytics solutions on Google Cloud Platform, including services such as BigQuery, Cloud Storage, Dataflow, Dataproc, Pub/Sub, and Cloud Composer, or equivalent cloud-native data technologies.

  • Preferred experience in insurance and financial services, including familiarity with regulatory, risk, underwriting, claims, customer, and operational data domains.

  • Experience with big data and distributed processing technologies, hybrid cloud and on-premise environments, and modern engineering practices including automation, testing, CI/CD, and secure data handling.

  • Working knowledge of business intelligence, reporting, and analytics enablement tools, with an understanding of data governance, lineage, monitoring, and controls needed to support trusted, production-grade data products.

Education & Experience
  • Bachelor's degree with Master's preferred in Computer Science, Information Technology, related discipline or equivalent work experience.

  • Typically 5+ years of experience in data, analytics or application development.

  • 2+ years of coding proficiency in at least one programming language (Python, Java, SQL).

  • Experience using Agile methods preferred.

  • Applicable certifications preferred (GCP, Data Engineering).

#LI-KJ1 #LI-HYBRID
In certain jurisdictions, CNA is legally required to include a reasonable estimate of the compensation for this role. In District of Columbia, California, Colorado, Connecticut, Illinois, Maryland, Massachusetts, New York and Washington, the national base pay range for this job level is $72,000 to $141,000 annually. Salary determinations are based on various factors, including but not limited to, relevant work experience, skills, certifications and location. CNA offers a comprehensive and competitive benefits package to help our employees - and their family members - achieve their physical, financial, emotional and social wellbeing goals. For a detailed look at CNA's benefits, please visit cnabenefits.com.
CNA utilizes AI-enabled technology during the recruiting process. For more information, please visit our careers page.
CNA is committed to providing reasonable accommodations to qualified individuals with disabilities in the recruitment process. To request an accommodation, please contact leaveadministration@cna.com