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Metadata Library Jobs in Princeton, NJ (NOW HIRING)

Edgestream Partners, L.P.

Data Team Lead

Princeton, NJ · On-site

... with libraries such as Pandas, Polars, and NumPy. • Exceptional attention to detail along with ... metadata catalogs, and schema evolution for large-scale datasets. • Experience building ...

Kepler

General interest - join our team!

New York, NY · On-site

$100K - $400K/yr

Every value carries provenance metadata back to its exact source. Every computation is auditable ... Unlimited PTO policy * "Build anything" budget - dedicated funding for whatever tools, libraries ...

The New York Times

Lead Data Taxonomist

New York, NY · On-site

... metadata. * You will define and monitor domain-specific KPIs for data quality, security, and ... Master's degree in Library Science, Information Management, or Computer Science. REQ-019811

NineDot Energy

Manager, Legal Operations

New York, NY · On-site

... clause libraries, approval workflows, signature processes, dashboards, user training, and ... metadata, and institutional knowledge capture. * Coordinate with cross-functional teams to support ...

Gibson Dunn

Creative Director

New York, NY · On-site

Oversee visual identity systems, templates, and global asset libraries to ensure brand integrity at ... metadata tagging, version control, and compliance with brand standards. * Develop and enforce ...

Gibson Dunn

Creative Director

New York, NY · On-site

Oversee visual identity systems, templates, and global asset libraries to ensure brand integrity at ... metadata tagging, version control, and compliance with brand standards. * Develop and enforce ...

Univision

AI & Emerging Media Video Editor

New York, NY · On-site

Maintain internal AI prompt libraries, workflows, and best practices. * Support and guide editors ... Maintain organized asset storage, folder structure, naming conventions, and metadata. * Prep and ...

Kitware

Machine Learning Engineer

New York, NY · On-site

$85K - $125K/yr

... images, video, metadata, audio, and text, and we recognize the need for robust, affordable ... Experience with deep learning libraries (PyTorch, TensorFlow, etc.) * Strong background in both ...

Dataiku

Generative AI Engineer

New York, NY · On-site +1

Work closely with analytics and data engineering teams to maintain metadata on reference datasets ... libraries). Must have hands-on experience building agentic AI systems, multi-agent orchestration ...

MongoDB

Senior Staff Engineer, Quote-to-Cash

New York, NY · On-site

$60.50 - $78/hr

Define metadata, clause libraries, and approval paths that enable self-service contract generation and touchless handoffs * Ensure contract terms and deal attributes are accurately synchronized with ...

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All JobsMetadata Library JobsMetadata Library Jobs in Princeton, NJ

Metadata Library information

See Princeton, NJ salary details

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How much do metadata library jobs pay per hour?

As of Jun 16, 2026, the average hourly pay for metadata library in Princeton, NJ is $19.58, according to ZipRecruiter salary data. Most workers in this role earn between $15.87 and $22.16 per hour, depending on experience, location, and employer.

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 Princeton, NJ? For Metadata Library jobs in Princeton, NJ, the most frequently searched job titles are:
What cities near Princeton, NJ are hiring for Metadata Library jobs? Cities near Princeton, NJ with the most Metadata Library job openings:
Metadata Library jobs near you
Infographic showing various Metadata Library job openings in Princeton, NJ as of June 2026, with employment types broken down into 1% As Needed, 84% Full Time, 14% Part Time, and 1% Contract. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution, with an average salary of $40,734 per year, or $19.6 per hour.
Data Team Lead

Data Team Lead

Edgestream Partners, L.P.

Princeton, NJ • On-site

Full-time

Posted 2 days ago

Job description

Job Summary:
Edgestream Partners is a firm dedicated to developing quantitative models of financial markets and deploying them in systematic trading strategies. They are seeking an experienced data leader to shape the architecture and evolution of their data platform, working closely with researchers, engineers, and trading teams to enhance data workflows and operational processes.
Responsibilities:
• Lead and develop the firm’s data engineering team, fostering a results-oriented culture that balances immediate business needs with long-term data strategy.
• Take ownership of critical production data pipelines, maintaining and enhancing them to ensure reliability, performance, and scalability.
• Design and implement the firm’s next-generation data platform supporting large-scale market data and heterogeneous financial datasets used in research and trading.
• Optimize data workflows and operational processes, leveraging modern AI and data technologies to improve efficiency and engineering productivity.
• Collaborate closely with trading operations, quantitative researchers, and business teams to assess needs, prioritize initiatives, and plan data platform development.
Qualifications:
Required:
• Bachelor’s or Master’s degree in computer science, engineering, mathematics, physics, or a related quantitative discipline.
• At least 7 years of experience in financial data management, data strategy, and leadership roles.
• Demonstrated success executing independently in a high-performance and rapidly evolving environment.
• Experience integrating data from financial data vendors and exchange feeds, along with a strong understanding of corporate actions, instrument symbology, and security master design.
• Strong proficiency with modern database systems, including open-source technologies such as PostgreSQL and cloud-based platforms such as Snowflake, Databricks, or BigQuery.
• Strong proficiency and hands-on experience with Python, including experience with libraries such as Pandas, Polars, and NumPy.
• Exceptional attention to detail along with strong organizational and communication skills.
• Proven ability to leverage modern AI/ML tooling effectively to solve complex problems and enhance data workflows.
Preferred:
• Deep familiarity with financial market data structures, including equities, futures, and FX datasets, particularly in the context of building historical backfill and replay pipelines for research and backtesting.
• Experience working with NoSQL and vector databases to store, index, and query large-scale semi-structured and unstructured datasets.
• Experience designing and operating large-scale data lake or lakehouse architectures for financial or time-series data, including modern table formats such as Apache Iceberg or Delta Lake.
• Experience building columnar data architectures using technologies such as Parquet or Apache Arrow.
• Strong understanding of partitioning strategies, metadata catalogs, and schema evolution for large-scale datasets.
• Experience building distributed data processing pipelines using frameworks such as Apache Spark.
• Solid understanding of parallel computing, task orchestration, and distributed query execution.
• Experience optimizing large-scale ETL workloads for throughput, latency, and operational efficiency.
Company:
Edgestream Partners, L.P. ("Edgestream"​) is devoted to institutional investment management in an ever-changing world. Founded in 2003, the company is headquartered in Princeton, USA, with a team of 11-50 employees. The company is currently Early Stage.

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