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Library In Jobs in Washington, NJ (NOW HIRING)

React JS Developer- Raritan, NJ

Raritan, NJ · On-site

$106K - $123K/yr

... JavaScript library. The role involves developing and maintaining high-quality, responsive user ... Participating in code reviews to ensure consistency and adherence to coding standards • ...

SharePoint Developer

Bethlehem, PA

$48.50 - $63.25/hr

... in a Microsoft 365 environment. * Solid understanding of SharePoint site architecture, lists, libraries, content types, and metadata. * Experience managing SharePoint permissions, sharing policies ...

SharePoint Developer

Bethlehem, PA · On-site

$48.50 - $63.25/hr

... in a Microsoft 365 environment. * Solid understanding of SharePoint site architecture, lists, libraries, content types, and metadata. * Experience managing SharePoint permissions, sharing policies ...

SharePoint Developer

Bethlehem, PA

$48.50 - $63.25/hr

... in a Microsoft 365 environment. * Solid understanding of SharePoint site architecture, lists, libraries, content types, and metadata. * Experience managing SharePoint permissions, sharing policies ...

Knowledge of Open Source libraries, tools and frameworks, e.g. for logging, testing, and building. * Excitement for the latest trends in application design. * Experience with Amazon Web Services (i.e.

Showing results 41-60

Library In information

See Washington, NJ salary details

$8

$18

$26

How much do library in jobs pay per hour?

As of Sep 2, 2026, the average hourly pay for library in in Washington, NJ is $18.10, according to ZipRecruiter salary data. Most workers in this role earn between $14.66 and $20.48 per hour, depending on experience, location, and employer.

What is a library in?

Library Instructors are professionals who teach individuals or groups how to effectively find, evaluate, and use information resources, typically within a library setting. They may conduct workshops, create research guides, and offer one-on-one instruction to students, faculty, or community members. Their goal is to help users become self-sufficient in navigating library systems, databases, and other information tools. Library Instructors often collaborate with educators to support curriculum needs and promote information literacy.

What are the key skills and qualifications needed to thrive as a library information specialist, and why are they important?

To thrive as a Library Information Specialist, you need strong organizational skills, knowledge of cataloging and classification systems, and typically a degree in library science or a related field. Familiarity with integrated library systems (ILS), digital databases, and information retrieval tools is essential. Excellent communication, problem-solving, and customer service skills help you assist patrons and collaborate with colleagues effectively. These skills ensure efficient resource management, user satisfaction, and adaptability in evolving information environments.

What are some common challenges faced by library information specialists, and how can they be addressed?

Library Information Specialists often encounter challenges such as keeping up with rapidly evolving digital resources, managing diverse patron needs, and maintaining up-to-date cataloging systems. To address these, specialists regularly engage in professional development, collaborate closely with IT staff, and participate in user feedback sessions to enhance service delivery. Open communication within the team and adaptability are key to successfully navigating these challenges and providing effective support to library users.

What jobs exist in a library?

Jobs in a library include librarian, library assistant, library technician, archivist, and library clerk. These roles involve tasks such as managing collections, assisting patrons, cataloging materials, and maintaining library systems, often requiring knowledge of library software and customer service skills.

What job categories do people searching Library In jobs in Washington, NJ look for?

The top searched job categories for Library In jobs in Washington, NJ are:

What cities near Washington, NJ are hiring for Library In jobs?

Cities near Washington, NJ with the most Library In job openings:

Infographic showing various Library In job openings in Washington, NJ as of August 2026, with employment types broken down into 1% Internship, 86% Full Time, 10% Part Time, and 3% Contract. Highlights an 92% Physical, 3% Hybrid, and 5% Remote job distribution, with an average salary of $37,652 per year, or $18.1 per hour.

Data Analytics w/ Data Bricks - HYBRID

André Global, Inc.

Bethlehem, PA • On-site

$113K - $135K/yr

Contractor

This job post has expired today. Applications are no longer accepted.


Job description

This is a contract-to-hire position with our Insurance client.
  • Must be strong on SQL, Python and Databricks
  • Will undergo 1 hour live coding exercise during the interview

Location: Bethlehem, PA. Resource will be required to work onsite a minimum of 3 days per week in the Bethlehem, PA office. Local candidates preferred. If your candidate is not local to Bethlehem, they will be required to relocate and work onsite from Day 1.
You will:
• Collaborate with data scientists and analysts to understand data requirements and translate them into scalable, high performant data pipeline solutions.
• Support data discovery & data preparation for model development. Perform detailed analysis of raw data sources by applying business context and collaborate with cross-functional teams to transform raw data into curated & certified data assets to be used for ML and BI use cases.
• Collaborate with data science and data engineering team to build scalable and reproducible machine learning pipelines for training and inference.
• Implement machine learning models into operations and processes via batch, streaming and API methods.
• Monitor and troubleshoot data pipeline performance, identifying and resolving bottlenecks and issues.
• Develop, test, and maintain robust tools, frameworks, and libraries that standardize and streamline the data & machine learning lifecycle.
• Contribute to developing and maintaining end-to-end MLOps lifecycle to automate machine learning solutions development and delivery.
• Implement robust monitoring framework for model performance.
• Collaborate with cross-functional teams of Data Science, Data Engineering, business units and various IT teams.
• Create and maintain effective documentation for project and practices ensuring transparency and effective team communication.
You Have:
• Bachelor's or master's degree with 5+ years of experience in Computer Science, Data Science, Engineering, or a related field.
• 4+ years of experience in working with Python, SQL, PySpark and bash scripts. Proficient in software development lifecycle and software engineering practices.
• 2+ years of hands-on experience in using Databricks platform
• 3+ years of hands-on experience in operationalizing Machine Learning solutions which are used in live production processes.
• 2+ years of experience and proficiency in API development using FastAPI frameworks and familiarity with containerization technologies like docker or Kubernetes.
• 3+ years of experience in developing and maintaining robust data pipelines data to be used by Data Scientists to build ML Models.
• 3+ years of experience working with Cloud Data Warehousing (Redshift, Snowflake, Databricks SQL or equivalent) platforms and experience in working with distributed framework like Spark.
• Solid understanding of machine learning life cycle, data mining, and ETL techniques.
• Experience with machine learning frameworks (like Keras or PyTorch) and libraries (like scikit-learn, xgboost).
• Hands-on experience in building and maintaining tools and libraries which have been used by multiple teams across organization.
• Proficient in understanding and incorporating software engineering principles in design & development process.
• Hands on experience with CI/CD tools (e.g., Jenkins or equivalent), version control (Github, Bitbucket), Orchestration (Airflow, Prefect or equivalent)
• Excellent communication skills and ability to work and collaborate with cross functional teams across technology and business.
Good to have:
• Familiarity with deep learning frameworks and deploying deep learning models for production use cases.
• Familiarity in using GPU compute either for model training or inference.
• Understanding of Large language models (LLM) and MLOps lifecycle for operationalizing LLM models.