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Metadata Library Jobs in Michigan (NOW HIRING)

FastTek

Data Engineering Engineer

Dearborn, MI · On-site

$105K - $126K/yr

... metadata conflicts) during the transfer. You will be responsible for consuming Teamcenter APIs ... Familiarity with AI/ML frameworks (e.g., Python-based libraries like Scikit-learn or Pandas, or LLM ...

Jatca Inc.

Document Control Specialist

Holland, MI · Remote

... Librarian experience is strongly desired Responsibilities: Maintains and manages the update, review ... ensuring required metadata and other applicable data inputs for compliance are provided; and ...

Torc Robotics

Senior, ML Engineer - Auto Tagger

Ann Arbor, MI · On-site

$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 ...

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 ...

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 ...

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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 June 2026, with employment types broken down into 1% As Needed, 89% Full Time, 6% Part Time, and 4% Contract. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution.
Data Engineering Engineer

Data Engineering Engineer

FastTek

Dearborn, MI • On-site

$105K - $126K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 23 days ago

Be an early applicant

Job description

Data Engineering Engineer #1057469
Position Description:
Role Overview:
We are looking for a Senior PLM Developer to architect and build a next-generation migration pipeline from Teamcenter to 3DEXPERIENCE. This role is unique in its requirement to develop AI-driven automation tools that identify and resolve data discrepancies (attribute mismatches, structure gaps, and metadata conflicts) during the transfer. You will be responsible for consuming Teamcenter APIs, managing a middle data layer, and utilizing XPDM and CAA to ingest high-fidelity data into 3DX.
  • Development: Expert-level Java development skills (Core Java, Multi-threading, and RESTful API consumption).
  • 3DEXPERIENCE Expertise: Strong experience with CAA C++ / Java scripting and a deep understanding of the XPDM integration framework.
  • Teamcenter Knowledge: Experience consuming Teamcenter SOA (Service Oriented Architecture) and understanding the Teamcenter Data Model.
  • AI/Automation: Familiarity with AI/ML frameworks (e.g., Python-based libraries like Scikit-learn or Pandas, or LLM-based data cleaning) to automate the resolution of data conditions and discrepancies. Middleware: Experience working with a "Middle Data Layer" or staging databases (Mongo DB) to transform data before final import.
  • CAD/PLM Data: Understanding of CAD data structures (Item Revisions, Datasets, BOMs) and how they translate between different PLM platforms.

Skills Required:
  • REST APIs, Data Migration, Java, Artificial Intelligence & Expert Systems, Python

Skills Preferred:
  • C++, Teamcenter

Experience Required:
  • Engineer 2 Exp: 4+ years Data Engineering work experience in PLM Domain

Key Responsibilities:
  • Migration Tooling Development: Build and maintain Java-based migration utilities to extract data from Teamcenter (via SOA/Middle Layer) and import it into 3DEXPERIENCE.
  • AI-Driven Data Quality: Develop and implement AI/Machine Learning models or logic-based automation to detect, categorize, and auto-correct data discrepancies between the source and target systems.
  • 3DX Integration: Utilize XPDM (Cross-Platform Data Management) frameworks to facilitate seamless data exchange and ensure data integrity within the 3DEXPERIENCE environment.
  • CAA Development: Write and optimize CAA (Component Application Architecture) scripts to handle complex geometry and metadata requirements within the 3DX/CATIA environment. API Consumption: Interface with Teamcenter's middle data layer to extract PLM objects, BOM structures, and CAD datasets.
  • Data Mapping & Transformation: Define complex mapping logic to transform Teamcenter's data model into the 3DX Unified Typography.

Preferred Qualifications:
  • Proven track record of at least one major Teamcenter-to-3DX migration project.
  • Experience with ENOVIA/3DX data modeling and configuration.
  • Knowledge of Python for rapid prototyping of AI/data-cleansing models.
  • Strong analytical skills to handle "edge cases" in data migration where standard mapping fails.

Education Required:
  • Bachelor's Degree

Additional Info:
At FastTek Global, Our Purpose is Our People and Our Planet. We come to work each day and are reminded we are helping people find their success stories. Also, Doing the right thing is our mantra. We act responsibly, give back to the communities we serve and have a little fun along the way.
We have been doing this with pride, dedication and plain, old-fashioned hard work for 24 years!
FastTek Global is financially strong, privately held company that is 100% consultant and client focused.
We've differentiated ourselves by being fast, flexible, creative and honest. Throw out everything you've heard, seen, or felt about every other IT Consulting company. We do unique things and we do them for Fortune 10, Fortune 500, and technology start-up companies.
Our benefits are second to none and thanks to our flexible benefit options you can choose the benefits you need or want, options include:
  • Medical and Dental (FastTek pays majority of the medical program)
  • Vision
  • Personal Time Off (PTO) Program
  • Long Term Disability (100% paid)
  • Life Insurance (100% paid)
  • 401(k) with immediate vesting and 3% (of salary) dollar-for-dollar match

Plus, we have a lucrative employee referral program and an employee recognition culture.
FastTek Global was named one of the Top Work Places in Michigan by the Detroit Free Press in 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020, 2021, 2022, and 2023!
To view all of our open positions go to: https://www.fasttek.com/fastswitch/findwork
Follow us on Twitter: https://twitter.com/fasttekglobal
Follow us on Instagram: https://www.instagram.com/fasttekglobal
Find us on LinkedIn: https://www.linkedin.com/company/fasttek
You can become a fan of FastTek on Facebook: https://www.facebook.com/fasttekglobal/
AI & Hiring Disclosure
We use AI tools to support parts of our hiring process, such as reviewing applications and identifying potential matches. These tools are designed to promote efficiency, consistency, and fairness, and they are always used under human oversight.
All personal data collected is used solely for recruitment purposes, and you have the right to know, access, or request deletion of your data at any time, subject to legal limits.
If AI will be used in a video interview, you'll be informed in advance and asked for your consent, with the option to opt out.
Our tools are regularly reviewed to detect potential bias and to ensure compliance with all applicable laws and our commitment to inclusive hiring.
To learn more or exercise your rights, please contact us at info@fasttek.com.