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Metadata Library Jobs in Michigan (NOW HIRING)

Stefanini Group

GCP Data Engineer

Dearborn, MI · On-site

$61 - $66/hr

Establish enterprise standards for metadata, including tagging, classification, lineage, and ... Understanding of statistical analysis, data modeling, and ML libraries. Education Required

Stefanini Group

GCP Data Engineer

Dearborn, MI

Establish enterprise standards for metadata, including tagging, classification, lineage, and ... Understanding of statistical analysis, data modeling, and ML libraries. Education Required

Stefanini Group

GCP Data Engineer

Dearborn, MI

Establish enterprise standards for metadata, including tagging, classification, lineage, and ... Understanding of statistical analysis, data modeling, and ML libraries. Education Required

Prolim Global

Infrastructure Solutions Architect 5

Lansing, MI · On-site

$67 - $85.75/hr

... the metadata repository. Including developing and maintaining a formal description of the data ... Analyze EA Solution Assessments cataloged in EA SA Library for similar system design guidelines ...

Torc Robotics

Senior, ML Engineer - Auto Tagger

Ann Arbor, MI · On-site +1

$102K - $140K/yr

... curated library of critical driving scenarios. By mining driving logs for long-tail events, we ... metadata integrity. * Data Flywheel Integration: Manage the ingestion of tagged events into the ...

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All JobsMetadata Library JobsMetadata Library Jobs in Michigan

Metadata Library information

What are metadata librarians and what do they do?

Metadata librarians are information professionals who manage and organize metadata, which is data that describes other data, for library collections. They create, edit, and maintain metadata records to ensure resources are discoverable, accessible, and properly described in library catalogs and digital repositories. Their work supports searchability, digital preservation, and resource sharing by applying standards and best practices for cataloging. Metadata librarians often collaborate with IT staff, archivists, and subject specialists to enhance user access to library materials.

What is the difference between Metadata Library vs Metadata Specialist?

AspectMetadata LibraryMetadata Specialist
CredentialsTypically requires a degree in library science, information management, or related fieldsRequires similar credentials, often with additional certifications in data management or information systems
Work EnvironmentLibraries, archives, or information centers managing large metadata collectionsData-driven organizations, digital repositories, or information management teams
Employer & IndustryLibraries, museums, archives, academic institutionsTech companies, publishing, digital content providers
Search & Comparison IntentUnderstanding library metadata management rolesSpecialized data and metadata management tasks

The main difference is that a Metadata Library focuses on managing metadata within library and archival settings, while a Metadata Specialist handles metadata in broader digital and data environments. Both roles require similar credentials but serve different industry needs.

What are some common challenges faced by professionals working in a metadata library role, and how can they be addressed?

Professionals in a metadata library role often encounter challenges such as maintaining consistency and accuracy in metadata standards across diverse collections, keeping up with evolving cataloging guidelines, and integrating new technologies or platforms. Addressing these challenges typically involves ongoing training, collaboration with colleagues to develop clear metadata policies, and staying informed about industry best practices. Regular communication with IT teams and subject specialists is also key to ensuring that metadata effectively supports discoverability and access for library users.

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

To thrive as a Metadata Librarian, you need expertise in cataloging standards (such as MARC, Dublin Core), metadata schema, and information organization, usually supported by a Master's in Library Science or a related field. Familiarity with integrated library systems (ILS), metadata management tools, and knowledge of cataloging software like OCLC Connexion is typical. Attention to detail, analytical thinking, and strong communication skills help ensure accuracy and facilitate collaboration with library staff. These skills and qualities are crucial to maintaining accessible, well-organized digital and print collections that support user discovery and research.
What are popular job titles related to Metadata Library jobs in Michigan? For Metadata Library jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Metadata Library jobs in Michigan look for? The top searched job categories for Metadata Library jobs in Michigan are:
What cities in Michigan are hiring for Metadata Library jobs? Cities in Michigan with the most Metadata Library job openings:
Metadata Library jobs near you
Infographic showing various Metadata Library job openings in Michigan as of July 2026, with employment types broken down into 1% Internship, 1% As Needed, 79% Full Time, 15% Part Time, 1% Temporary, and 3% Contract. Highlights an 91% Physical, 2% Hybrid, and 7% Remote job distribution.
GCP Data Engineer

GCP Data Engineer

Stefanini Group

Dearborn, MI • On-site

$61 - $66/hr

Contractor

Re-posted 27 days ago

Job description

Details:
Stefanini Group is hiring!
Stefanini is looking for a GCP Database Engineer(Dearborn, MI)
For quick apply, please reach out to Adil Khan at 248-728- 6424/ adil.khan@stefanini.com
We are seeking a Senior Cloud Database Engineer to join our Platform Engineering team. This role focuses on defining strategy, architecture, and standardized 'golden paths' for cloud databases and the AI journey on Google Cloud Platform (GCP). You will act as a technical leader, shaping the vision and roadmap for our database platform, with a key focus on embedding AI/GenAI capabilities (e.g., Gemini Enterprise, Model Context Protocol, Dataplex, and Knowledge Catalog) into how engineering teams design, build, secure, and operate intelligent data systems at scale.
Job Requirements
Details:
Responsibilities
  • Lead adoption of Gemini Enterprise for query generation, debugging, and schema optimization.
  • Define patterns for integrating Model Context Protocol (MCP) with databases for contextual AI interactions.
  • Identify and implement AI-driven automation across the database lifecycle, including capacity planning, anomaly detection, and self-tuning.
  • Partner with AI/ML teams to integrate ML, statistical models, and GenAI into data platform strategies.
  • Build intelligent agents on database AI frameworks to improve fault detection and reduce OLTP costs.
  • Establish enterprise standards for metadata, including tagging, classification, lineage, and discoverability.
  • Promote well-documented, discoverable datasets.
  • Align with GDPR and HIPAA frameworks; manage GCP IAM, service accounts, role bindings, and encryption.
  • Apply reliability practices to ensure availability, fault tolerance, and disaster recovery.
  • Lead query optimization, indexing strategies, and troubleshooting across distributed systems.
  • Enable secure CI/CD pipelines for database code and configurations.
  • Establish scalable, secure, self-service database architectures on GCP.
  • Build and maintain Terraform templates for automated provisioning and lifecycle management.
  • Architect across SQL (SQL Server, PostgreSQL, MySQL, AlloyDB, Spanner) and NoSQL (MongoDB, Firestore, Bigtable, Memorystore, Neo4j) with Cloud Functions and Cloud Run.
  • Develop complex data models and reliable ETL pipelines integrating multiple data sources.
  • Advise engineering, data, and AI teams on best practices.
  • Foster an AI-assisted, platform-first culture and mentor engineers.

Skills Required
  • GCP

Skills Preferred
  • Artificial Intelligence & Expert Systems

Experience Required
  • 6+ years of experience in IT; 4+ years in development.
  • 5+ years in database engineering with a focus on GCP AI enablement.
  • Experience with Gemini Enterprise and understanding of MCP or equivalent patterns.
  • Hands-on experience with GCP databases including Cloud SQL, AlloyDB, Spanner, Firestore, Memorystore, MongoDB, and BigQuery.
  • Knowledge of GCP IAM, encryption, and CI/CD practices.
  • Experience building Internal Developer Platforms (IDPs).
  • GCP Professional Cloud Database Engineer or Data Engineer.
  • Proficiency in Terraform and programming (Python/Java).
  • Experience with Kubernetes (GKE) and database operators.
  • Understanding of statistical analysis, data modeling, and ML libraries.
    Education Required
  • Bachelor's Degree

Education Preferred
Certfication Program
**Listed salary ranges may vary based on experience, qualifications, and local market. Also, some positions may include bonuses or other incentives***
Stefanini takes pride in hiring top talent and developing relationships with our future employees. Our talent acquisition teams will never make an offer of employment without having a phone conversation with you. Those face-to-face conversations will involve a description of the job for which you have applied. We will also speak with you about the process, including interviews and job offers.
About Stefanini Group
The Stefanini Group is a global provider of offshore, onshore and near shore outsourcing, IT digital consulting, systems integration, application, and strategic staffing services to Fortune 1000 enterprises around the world. Our presence is in countries like the Americas, Europe, Africa, and Asia, and more than four hundred clients across a broad spectrum of markets, including financial services, manufacturing, telecommunications, chemical services, technology, public sector, and utilities. Stefanini is a CMM level 5, IT consulting company with a global presence. We are a CMM Level 5 company.
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Pay Range:
$ 61.00 - $ 66.00

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