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Remote Library Cataloging Jobs in Pennsylvania (NOW HIRING)

Cloud Data Architect

Pittsburgh, PA · On-site +1

$62 - $79.50/hr

Remote work from home. * Hours of work and days are generally Monday through Friday. Specific ... library stacks, office machinery, etc. * Constantly operates a computer and other office ...

Remote Library Cataloging information

What is remote library cataloging?

A Remote Library Cataloging job involves organizing and classifying library materials such as books, digital resources, and other media from a remote location. Catalogers use metadata standards like MARC, RDA, and Dublin Core to ensure accurate and accessible records in a library's database. This role typically requires knowledge of library classification systems, strong attention to detail, and experience with integrated library systems (ILS). Remote catalogers may work for academic, public, or special libraries, as well as library vendors or freelance projects.

What are the typical daily responsibilities for remote library cataloging?

In a remote library cataloging role, your daily tasks often include reviewing and entering bibliographic data, assigning classification numbers and subject headings, and ensuring consistency with cataloging standards. You may also be responsible for updating records in integrated library systems, resolving data discrepancies, and collaborating virtually with library staff to improve catalog accuracy. Staying organized and maintaining high attention to detail are crucial as you balance workload independently. Additionally, you might participate in online training or team meetings to stay updated on best practices and evolving cataloging guidelines.

What are the key skills and qualifications needed for remote library cataloging?

Excelling in Remote Library Cataloging requires strong attention to detail, proficiency in library science principles, and typically a degree in library or information science. Familiarity with cataloging standards like MARC, RDA, and Library of Congress Classification, as well as experience using integrated library systems (ILS), are commonly expected. Excellent communication, self-motivation, and organizational skills help remote catalogers work independently while meeting quality and deadline expectations. These capabilities ensure accurate resource organization and seamless digital access for library users, even in a remote environment.

What are the most commonly searched types of Library Cataloging jobs in Pennsylvania?

The most popular types of Library Cataloging jobs in Pennsylvania are:

What are popular job titles related to Remote Library Cataloging jobs in Pennsylvania?

For Remote Library Cataloging jobs in Pennsylvania, the most frequently searched job titles are:

What job categories do people searching Remote Library Cataloging jobs in Pennsylvania look for?

The top searched job categories for Remote Library Cataloging jobs in Pennsylvania are:

What cities in Pennsylvania are hiring for Remote Library Cataloging jobs?

Cities in Pennsylvania with the most Remote Library Cataloging job openings:

Infographic showing various Remote Library Cataloging job openings in Pennsylvania as of August 2026, with employment types broken down into 50% Part Time, and 50% Contract. Highlights an 100% Remote job distribution.

Cloud Data Architect

Pittsburgh, PA • On-site, Remote

Data Ideology LLC
IT Services • 11 - 50 employees

$62 - $79.50/hr

Contractor

Re-posted 20 days ago


Job description

Data Ideology
At DI, we provide Data & Analytics expertise to drive measurable business outcomes, often solving complex business problems for our clients. Our data analytics advisory services enable our customers to transform data into insights by driving a culture of empowerment and ownership of results. Our team consists of highly motivated individuals passionate about learning, understanding, collaborating, and intellectually curious. For more information about Data Ideology, visit www.dataideology.com.
Cloud Data Architect
We are always looking to connect with top talent! We are seeking a skilled and collaborative Cloud Data Architect to help drive ongoing data modernization efforts. This role is responsible for designing and enabling modern cloud data platforms, integrating enterprise systems, and building semantic data models that support critical business functions across the organization. If you're passionate about cloud architecture, scalable data solutions, and helping organizations transform their data ecosystems, we'd love to connect with you.
Key Responsibilities
  • Own the architecture for cloud-native data platforms, including Lakehouse designs (Delta Lake, Iceberg, Databricks, or Microsoft Fabric) that support reporting, analytics, and BI.
  • Design scalable data models supporting enterprise platforms, including ERP, financial, operational, and project management systems.
  • Lead modernization initiatives for legacy data environments, including migration strategy, data mapping/transformation, reconciliation, and cutover to production.
  • Build frameworks for real-time and near real-time data ingestion and processing, alongside batch pipelines (ELT/ETL).
  • Drive decisions across storage, orchestration, data quality, reliability, and performance.
  • Define semantic data models that enable self-service analytics and consistent reporting, in coordination with data governance, metadata management, and master data management (MDM) standards.
  • Partner with business and technical stakeholders across functional areas to prioritize requirements and translate them into architectural decisions.
  • Support secure, governed data access in coordination with Identity and Access Management (IAM) teams.
  • Evaluate emerging technologies, including AI, and identify opportunities to apply them within the data ecosystem; help shape the long-term technical roadmap.
  • Mentor junior architects and data management staff, and translate complex technical concepts into clear, business-friendly language for technical and non-technical audiences alike.
Qualifications
  • 8+ years of experience in data architecture, data modeling, or cloud data engineering, with demonstrated ownership of architecture decisions.
  • Hands-on experience designing and implementing cloud data solutions using Snowflake, Azure, AWS, and/or Databricks.
  • Deep understanding of distributed systems, data architecture, and modern cloud infrastructure.
  • Experience with Lakehouse architecture and platforms (Delta Lake, Apache Iceberg, Apache Hudi).
  • Demonstrated success designing semantic data models for reporting and analytics at scale.
  • Experience leading or supporting large-scale data migrations, from discovery through cutover, and building systems from concept through production.
  • Experience supporting low-latency or high-volume data environments is highly desirable.
  • Strong grounding in modern data warehousing, ELT/ETL, and cloud architecture best practices.
  • Proven ability to navigate ambiguity, influence technical direction, and drive clarity across cross-functional teams, balancing strategic vision with hands-on execution.
  • Excellent communication, presentation, and stakeholder management skills.
Preferred Qualifications
  • Deep experience with data governance, metadata management, MDM, and data quality frameworks.
  • Familiarity with data catalog tools (e.g., Purview, Collibra, Alation).
  • Track record supporting enterprise data modernization, migration, or cloud transformation initiatives.
Work Environment:
  • Remote work from home.
  • Hours of work and days are generally Monday through Friday. Specific business hours will depend on client needs.
Physical Demands:
  • Must be able to remain in a stationary position 50% of the time.
  • The person in this position must occasionally move about inside the office to access file cabinets, library stacks, office machinery, etc.
  • Constantly operates a computer and other office productivity machinery, such as a calculator, copy machine, and printer.
  • The person in this position frequently communicates with clients and coworkers. Must be able to exchange accurate information in these situations.

Data Ideology is an EEO Employer