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Library Information Science Jobs in Utah (NOW HIRING)

Senior Data Engineer

Salt Lake City, UT · On-site

$102K - $139K/yr

... ML) libraries, including Pandas, NumPy, Scikit-learn, and TensorFlow. Develops and designs ... Education and Experience : Bachelor's degree in Computer Science, Engineering, Information ...

Post Doc Res Assoc

Salt Lake City, UT · On-site

$56K - $65K/yr

Please visit our website for more information about our research and the lab: or email Denise ... sequencing libraries or microbiome science, including 16SrRNA metabarcoding, metagenomics ...

Senior Data Engineer

Salt Lake City, UT · On-site

$102K - $139K/yr

... ML) libraries, including Pandas, NumPy, Scikit-learn, and TensorFlow. Develops and designs ... Education and Experience : Bachelor's degree in Computer Science, Engineering, Information ...

Post Doc Res Assoc

Salt Lake City, UT · On-site

$56K - $65K/yr

Please visit our website for more information about our research and the lab: or email Denise ... sequencing libraries or microbiome science, including 16SrRNA metabarcoding, metagenomics ...

UI Engineer

Salt Lake City, UT · On-site

$110K - $170K/yr

Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or ... You understand that to falsify information is grounds for refusing to hire you, or for discharge ...

UI Engineer

Salt Lake City, UT · Hybrid

$110K - $170K/yr

Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or ... You understand that to falsify information is grounds for refusing to hire you, or for discharge ...

Facilitate component selection and libraries application through the coordination and generation of ... Typically requires a Bachelor's in Science, Technology, Engineering, or Mathematics (STEM) and a ...

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Library Information Science information

See Utah salary details

$7

$14

$26

How much do library information science jobs pay per hour?

As of Jul 15, 2026, the average hourly pay for library information science in Utah is $14.33, according to ZipRecruiter salary data. Most workers in this role earn between $10.72 and $15.96 per hour, depending on experience, location, and employer.

What is the highest paying library job?

The highest paying library job is typically a Library Director or Chief Librarian, with salaries often exceeding $100,000 annually, especially in large or academic institutions. These roles require extensive experience, advanced degrees, and strong leadership skills, and they oversee library operations, budgets, and strategic planning.

What are some common challenges faced by professionals working in Library Information Science roles?

One common challenge in Library Information Science roles is staying current with rapidly evolving digital technologies and information management systems. Professionals must continually adapt to new tools, platforms, and user expectations while ensuring that both physical and digital resources are accessible and well-organized. Balancing traditional library services with the increasing demand for digital literacy support and community engagement can also be demanding. Additionally, collaboration with educators, IT staff, and community partners is essential, requiring strong communication and project management skills.

What are the key skills and qualifications needed to thrive in Library Information Science, and why are they important?

To thrive in Library Information Science, you need a solid understanding of information organization, research methods, and often a master's degree in library science (MLS or MLIS). Familiarity with integrated library systems (ILS), cataloging standards like MARC, and digital resource management tools is typically required. Strong interpersonal skills, customer service orientation, and adaptability help professionals effectively serve diverse patrons and collaborate with colleagues. These competencies ensure efficient information access, resource management, and high-quality support in library environments.

What can I do with a library and information science degree?

A library and information science degree prepares individuals for careers as librarians, archivists, information specialists, and data managers. These roles involve organizing, preserving, and providing access to information using skills in cataloging, digital tools, and research methods, often within libraries, archives, museums, or information technology settings.

What is Library Information Science?

Library Information Science is an interdisciplinary field that focuses on the management, organization, and dissemination of information in libraries and other information centers. Professionals in this field are trained in cataloging, reference services, digital resource management, and information technology. Their work supports access to information, research, and learning for a variety of users. With the rise of digital information, Library Information Science has evolved to include expertise in digital archives, database management, and user experience design.

What can you do with a library science degree?

A library science degree prepares individuals for careers as librarians, archivists, information specialists, and library administrators. Graduates can work in public, academic, or special libraries, managing collections, providing research assistance, and implementing information systems using tools like cataloging software and digital resources.

What jobs can I get with a library and information science degree?

A degree in library and information science prepares individuals for roles such as librarian, archivist, information specialist, or library technician. These positions often require skills in cataloging, research, and using library management systems, and may involve working in public, academic, or special libraries, as well as digital information environments.

What is the difference between Library Information Science vs Library Technician?

AspectLibrary Information ScienceLibrary Technician
Required CredentialsMaster's or Bachelor's degree in Library Science or Information ScienceAssociate's degree or certification in library technology
Work EnvironmentPublic, academic, or special libraries; focus on management, research, and planningAssisting with cataloging, shelving, and customer service in libraries
Employer & Industry UsageLibraries, information centers, archivesPublic and academic libraries, schools

Library Information Science professionals typically hold advanced degrees and focus on managing library operations, research, and information systems. In contrast, Library Technicians support daily library functions like cataloging and customer assistance. Both roles are essential but differ in education requirements and responsibilities.

What are popular job titles related to Library Information Science jobs in Utah? For Library Information Science jobs in Utah, the most frequently searched job titles are:
What job categories do people searching Library Information Science jobs in Utah look for? The top searched job categories for Library Information Science jobs in Utah are:
What cities in Utah are hiring for Library Information Science jobs? Cities in Utah with the most Library Information Science job openings:
Infographic showing various Library Information Science job openings in Utah as of July 2026, with employment types broken down into 1% As Needed, 73% Full Time, 23% Part Time, 1% Temporary, and 2% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $29,798 per year, or $14.3 per hour.
Senior Data Engineer

Senior Data Engineer

Fidelity Investments

Salt Lake City, UT • On-site

$102K - $139K/yr

Full-time

Posted 28 days ago


Fidelity Investments rating

8.7

Company rating: 8.7 out of 10

Based on 266 frontline employees who took The Breakroom Quiz

17th of 148 rated financial services


Job description


Position Description:
Designs and implements scalable data pipelines, optimizes workflows for performance and reliability, and ensures compliance with data governance policies. Programs testable and maintainable software solutions using Object Oriented (OO) Python programming and Machine Learning (ML) libraries, including Pandas, NumPy, Scikit-learn, and TensorFlow. Develops and designs functional programming, emerging technologies, and messaging frameworks, using Kafka. Implements business rule management systems in Python or Java with Drools, Pyke, and Nools. Leverages quantitative, statistics, and econometrics (including probability, linear regression, time series data analysis, and optimizations) techniques and methods. Programs testable and maintainable software solutions using Splunk, Snowflake, YugabyteDB, Aerospike, and S3 database management systems. Employs Agile development lifecycle methodologies (Kanban and SCRUM).
Primary Responsibilities:
  • Develops software system testing and validation procedures, programming, and documentation.
  • Develops original and creative technical solutions to on-going development efforts.
  • Designs applications or subsystems on major projects and for/in multiple platforms.
  • Performs technical and functional analysis for data engineering projects.
  • Supports and performs all phases of testing leading to implementation.
  • Develops comprehensive documentation for multiple applications supporting several corporate initiatives.
  • Responsible for post-installation testing of any problems.
  • Establishes project plans for projects of moderate scope.
  • Works on complex assignments and often multiple phases of a project.
  • Collaborates with teams to support data-centric initiatives.
  • Performs independent and complex technical and functional analysis for multiple projects supporting several initiatives.

Education and Experience:
Bachelor's degree in Computer Science, Engineering, Information Technology, Information Systems, or a closely related field (or foreign education equivalent) and three (3) years of experience as a Senior Data Engineer (or closely related occupation) architecting, building, deploying, and monitoring real-time and batch pipelines for data engineering in a financial services environment.
Or, alternatively, Master's degree in Computer Science, Engineering, Information Technology, Information Systems, or a closely related field (or foreign education equivalent) and one (1) year of experience as a Senior Data Engineer (or closely related occupation) architecting, building, deploying, and monitoring real-time and batch pipelines for data engineering in a financial services environment.
Skills and Knowledge:
Candidate must also possess:
  • Demonstrated Expertise ("DE") performing cloud-native, event-driven, data platform architecture using Amazon Web Services (AWS) (Lambda, Glue, EC2, EMR, Athena, and Crawler), PySpark, Kafka, and Airflow in enterprise environments.
  • DE building and optimizing data lakes, warehouses, and models, using Snowflake, Redshift, SQL, and Denodo to access federated databases (Oracle, DB2, Teradata, MongoDB, PostgreSQL, MSSQL, Yugabyte, and Aerospike); and enabling scalable transformations, performance tuning, and cross-platform insights.
  • DE developing Continuous Integration and Continuous Delivery (CI/CD) pipeline development and data workflow orchestration, using Airflow, Control-M, Jenkins, SQL, Python, Terraform, and Docker within the Software Development Life Cycle (SDLC), to automate ingestion, transformation, validation, and monitoring for data integrity, Agile delivery, and operational efficiency.
  • DE performing Extract Transform Load /Extract Load Transform (ETL/ELT) for predictive modeling and analytics, using Python, Pandas, Scikit-learn, TensorFlow, and Snowpark; generating insights using PowerBI, Tableau, or Quicksight; and developing scalable solutions using Java, Shell, PL/SQL, Talend, Alteryx, Informatica, Unix, and Linux.

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Certifications:
Category:
Information Technology
Please be advised that Fidelity's business is governed by the provisions of the Securities Exchange Act of 1934, the Investment Advisers Act of 1940, the Investment Company Act of 1940, ERISA, numerous state laws governing securities, investment and retirement-related financial activities and the rules and regulations of numerous self-regulatory organizations, including FINRA, among others. Those laws and regulations may restrict Fidelity from hiring and/or associating with individuals with certain Criminal Histories.

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