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Library Science Masters Jobs in Florida (NOW HIRING)

SAIC

Big Data Engineer Principal

Orlando, FL · On-site

$106K - $128K/yr

Envision, VAULT, ELICSAR, Unified Data Library, and SIGNUS. * Test data services for the community ... Bachelor's and nine (9), Masters and seven (7); or relevant years of experience in lieu of degree.

SAIC

Big Data Engineer Principal

Orlando, FL · On-site

$106K - $128K/yr

Envision, VAULT, ELICSAR, Unified Data Library, and SIGNUS. * Test data services for the community ... Bachelor's and nine (9), Masters and seven (7); or relevant years of experience in lieu of degree.

SAIC

Big Data Engineer Principal

Orlando, FL

$52 - $68.75/hr

Envision, VAULT, ELICSAR, Unified Data Library, and SIGNUS. * Test data services for the community ... Bachelor's and nine (9), Masters and seven (7); or relevant years of experience in lieu of degree.

MHI

AI Program Manager

Lake Mary, FL · On-site

Develop playbooks, best practices, prompt libraries, and training resources. * Partner with ... Bachelor's degree in Business, Engineering, Computer Science, or Information Systems required; MBA ...

MUFG

Senior Security Engineer - AI

Tampa, FL · Hybrid

$108K - $148K/yr

Expert-level in Python with hands-on in data ingestion, cleaning, machine learning libraries ... Education: * Bachelor's or Masters degree in Cybersecurity, Computer Science, Artificial ...

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All JobsLibrary Science Masters JobsLibrary Science Masters Jobs in Florida

Library Science Masters information

See Florida salary details

$23.2K

$48.7K

$76.6K

How much do library science masters jobs pay per year?

As of Jun 9, 2026, the average yearly pay for library science masters in Florida is $48,718.00, according to ZipRecruiter salary data. Most workers in this role earn between $38,500.00 and $56,000.00 per year, depending on experience, location, and employer.

What is the difference between Library Science Masters vs Archivist?

AspectLibrary Science MastersArchivist
Required CredentialsMaster's degree in Library Science or Information ScienceMaster's degree in Library Science, Archival Studies, or related field
Work EnvironmentPublic, academic, or special librariesArchives, museums, or historical repositories
Employer & Industry UsageLibraries, educational institutions, government agenciesHistorical societies, museums, government archives
Common Search & ComparisonOften compared for information management rolesSpecialized in preserving and managing historical records

While both roles require a Master's in Library Science or related fields, Library Science Masters graduates typically work in public or academic libraries managing collections and assisting users. Archivists focus on preserving historical records and documents in archives or museums. The two careers overlap in information management but differ in their focus on user services versus preservation of historical materials.

What are the key skills and qualifications needed to thrive with a Master's in Library Science, and why are they important?

To thrive with a Master's in Library Science, you need strong research, information management, and organizational skills, typically supported by an MLS or MLIS degree. Familiarity with library databases, cataloging systems like MARC, and digital resource management tools is essential. Excellent communication, adaptability, and customer service skills help build community relationships and support diverse patron needs. These competencies ensure effective organization, access, and dissemination of information in modern library environments.

What types of career paths can graduates with a Library Science Master's degree pursue beyond traditional library settings?

Graduates with a Library Science Master's degree are not limited to working in public or academic libraries; they can also pursue roles in information management, digital archiving, corporate research, database administration, and museum curation. Many organizations, such as law firms, government agencies, and tech companies, seek professionals with strong information organization and retrieval skills. This degree can open doors to positions like data analyst, records manager, digital asset manager, and knowledge management specialist, providing a diverse range of career advancement opportunities.

What is a Library Science Masters degree?

A Library Science Masters degree, often referred to as a Master of Library and Information Science (MLIS or MLS), is a graduate-level program designed to prepare students for professional roles in libraries, archives, and other information organizations. This degree covers topics such as information organization, research methods, digital libraries, cataloging, and library management. Graduates are equipped to work as librarians, archivists, information specialists, and in other related roles in schools, public libraries, academic institutions, and corporations.
What are the most commonly searched types of Library Science Masters jobs in Florida? The most popular types of Library Science Masters jobs in Florida are:
What are popular job titles related to Library Science Masters jobs in Florida? For Library Science Masters jobs in Florida, the most frequently searched job titles are:
What job categories do people searching Library Science Masters jobs in Florida look for? The top searched job categories for Library Science Masters jobs in Florida are:
What cities in Florida are hiring for Library Science Masters jobs? Cities in Florida with the most Library Science Masters job openings:
Library Science Masters jobs near you
Infographic showing various Library Science Masters job openings in Florida as of June 2026, with employment types broken down into 100% Full Time. Highlights an 82% In-person, 9% Hybrid, and 9% Remote job distribution, with an average salary of $48,718 per year, or $23.4 per hour.
Big Data Engineer Principal

Big Data Engineer Principal

SAIC

Orlando, FL • On-site

$106K - $128K/yr

Full-time

Posted 3 days ago

SAIC rating

7.8

Company rating: 7.8 out of 10

Based on 78 frontline employees who took The Breakroom Quiz

70th of 203 rated it services

Job description

Job ID: 2612938

Location: Orlando, FL, US

Date Posted: 2026-05-26

Category: Information Technology

Subcategory: Big Data Engineer

Schedule: Full-Time

Shift: Day Job

Travel: Yes - 10% of the time

Minimum Clearance Required: Secret

Clearance Level Must Be Able to Obtain: None

Potential for Remote Work: ORA_ON_SITE


Description

SAIC is seeking an experienced Big Data / Parametric Data Engineer to support an Air Force program out of Orlando, FL.

(This is an onsite position, with no option for remote work).

You must possess an Active Security Clearance to qualify for this position.

Job Duties / Responsibilities:

  • Ensure parametric datasets established for supporting training and readiness comply with the Department of the Air Force (DAF) Data Fabric initiatives as well as the DoD Data Strategy, DAF I-Plan, and AFAMS Data Concept Plan.
  • Provision parametric data services for Air Force Training Simulation Centers:
  • Leverage commercial technology to the maximum extent possible and shall align work with the existing DAF Data Fabric initiative, to include the mandatory use of one of the top five big data platforms: Envision, VAULT, ELICSAR, Unified Data Library, and SIGNUS.
  • Test data services for the community to access parametric data addressing an agreed upon Source of Truth (ASoT) Dataset for the Training Simulation Centers.
  • Provision data services for the community to access parametric data; Make data: Visible, Accessible, Usable, Linked, Trusted, Interoperable, and Secure for the AF Training Simulation Centers.
  • Support tactical data training requirements:
    • Support government training data efforts at the tactical level to meet integrated training needs.
    • Support joint/coalition interoperability data efforts to enhance training capabilities.

Qualifications

  • Bachelor's and nine (9), Masters and seven (7); or relevant years of experience in lieu of degree.
  • Demonstrable expertise or be a subject matter expert in DoD wide parametric data.
  • Data access capability using SQL and python.
  • Knowledge of commercial parametric data sources.
  • Experience using military parametric data in synthetic environments.
  • Ability to train others on the usage of parametric data.
  • Data Engineering skill building ETL (Extract-Transform-Load) pipelines to support self-service data capability to the developer.
  • Data Interoperability acumen focused on making many siloed data systems work as one.
  • Semantic modeling and Ontology to support future graph database implementation.
  • Well Rounded understanding of metadata and its implementation in a data catalog.
  • Develop trusted authoritative datasets and data products that support varied use-cases.
  • Understanding the deployment of air-gapped data systems.
  • Solid understanding of data fabric and data mesh design and architectures.
  • Wide understanding of legacy and current data systems.
  • US Citizen and an Active Secret Security Clearance.

Desired Experience:

  • Data Expert(s) with demonstrated proficiency (e.g., Data Analyst, Data Scientist, Data Engineer, etc.) and the most current Information Technology (IT) and IT/Data mecca experience (e.g., Silicon Valley, Austin, Seattle, Colorado Springs).
  • Individual(s) must have previous experience in designing/building data stores or connecting via existing commercial Application Programming Interfaces (APIs) to commercially available data stores and must have previous experience in planning data lakes to transform and load legacy datasets to enterprise datasets for cloud environments.
  • Individual(s) must be familiar with the DAF’s Data Fabric effort with one of the top five big data platforms: Envision, VAULT, ELICSAR, Unified Data Library, and SIGNUS as starting points for DAF enterprise data transport, data mapping, data prep, and/or data aggregation effort.
  • Individual(s) must be Certified Data Management Professionals (CDMP) accredited by the Data Management Association (DAMA) International.
  • Individual(s) shall have first-hand experience with data services platforms to control data assets and guide the aggregation of large and disparate collections of enterprise data.
  • Individual(s) must have hands-on experience demonstrating, within one project, the ability to handle large data assets across various commercial industries that created new opportunities previously not realized. 

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