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Associate Computer Science Jobs in Elizabeth, NJ

Master's Degree in Data Science, Computer Science, Statistics, or equivalent * 5+ years of experience in data science, with leadership or people-management responsibility * Proven experience ...

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Associate Computer Science information

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How much do associate computer science jobs pay per hour?

As of Sep 15, 2026, the average hourly pay for associate computer science in Elizabeth, NJ is $19.14, according to ZipRecruiter salary data. Most workers in this role earn between $15.24 and $20.34 per hour, depending on experience, location, and employer.

What is an associate computer science professional?

An Associate Computer Science professional typically holds an associate degree in computer science or a related field and works in entry-level positions within the tech industry. They are responsible for assisting with software development, troubleshooting, maintaining computer systems, and supporting IT teams. These professionals often work under the supervision of more experienced engineers or developers and may contribute to coding, testing, and basic technical support. The role is a great starting point for those looking to build a career in technology and can lead to more advanced opportunities with experience and further education.

What are the key skills and qualifications needed to thrive as an associate computer science professional?

To thrive as an Associate in Computer Science, you need foundational knowledge in programming, algorithms, data structures, and typically a bachelor’s degree in computer science or a related field. Familiarity with programming languages like Python, Java, or C++, experience with version control systems such as Git, and understanding of databases are commonly required. Strong analytical thinking, problem-solving skills, and the ability to collaborate effectively with others help you stand out in this role. These competencies ensure you can successfully contribute to software development projects, solve technical challenges, and support team goals in a dynamic technology environment.

What types of projects and technologies can an associate computer science professional expect to work on in their first year?

As an Associate Computer Science professional, you will often be assigned to entry-level projects such as developing or maintaining software applications, testing code, or assisting with database management. You'll likely work with common programming languages like Java, Python, or C++, and may be introduced to collaborative tools such as version control systems (e.g., Git). The team environment typically includes regular code reviews and mentorship from senior engineers, providing opportunities to learn best practices and develop your technical skills. Over time, you'll gain exposure to more complex tasks and technologies as you build your experience.

What is the difference between Associate Computer Science vs Computer Programmer?

AspectAssociate Computer ScienceComputer Programmer
Required CredentialsAssociate's degree in Computer Science or related fieldTypically a bachelor's degree or coding bootcamp certification
Work EnvironmentEntry-level, team-based projects in tech companies, startups, or IT departmentsWriting, testing, and debugging code in various programming languages
Employer & Industry UsageCommon in tech firms, government agencies, and educational institutionsWidely used across software companies, finance, and tech industries

The main difference is that an Associate Computer Science focuses on foundational knowledge and may involve broader IT tasks, while a Computer Programmer specializes in coding and software development. Both roles often require similar educational backgrounds, but their daily tasks and career paths differ.

Are associate computer science majors still in demand?

Associate computer science majors are in demand for entry-level roles such as support specialists, technicians, and junior developers, especially as organizations seek to fill positions requiring foundational programming, networking, and troubleshooting skills. However, advancing to higher-level positions often requires further education or certifications, and staying current with evolving technologies increases employability.

Is an associate's degree in computer science worth getting?

An associate's degree in computer science can provide foundational skills in programming, networking, and systems, which are valuable for entry-level roles such as support specialist or technician. While it may lead to lower starting salaries compared to a bachelor's degree, it can be a cost-effective way to enter the tech field and gain practical experience quickly.

What can I do with an associate computer science degree?

An associate computer science degree prepares individuals for entry-level roles such as computer support specialist, help desk technician, or junior programmer. It provides foundational skills in programming, networking, and troubleshooting, often enabling further certifications or education for advanced positions.

What are the most commonly searched types of Computer Science jobs in Elizabeth, NJ?

The most popular types of Computer Science jobs in Elizabeth, NJ are:

What job categories do people searching Associate Computer Science jobs in Elizabeth, NJ look for?

The top searched job categories for Associate Computer Science jobs in Elizabeth, NJ are:

What cities near Elizabeth, NJ are hiring for Associate Computer Science jobs?

Cities near Elizabeth, NJ with the most Associate Computer Science job openings:

Infographic showing various Associate Computer Science job openings in Elizabeth, NJ as of September 2026, with employment types broken down into 69% Full Time, and 31% Part Time. Highlights an 100% In-person job distribution, with an average salary of $39,803 per year, or $19.1 per hour.

Principal Associate, Ontology and Data Modeling

New York, NY • On-site

Capital One
Funds, Trusts and Financial Programs • 10K+ employees

$64K - $65K/yr

Full-time

Posted 14 days ago


Key responsibilities

  • Develop, implement, and govern ontologies and optimized data models in consultation with stakeholders

  • Contribute to data integration and mapping efforts to harmonize data with enterprise ontologies

  • Partner with Technology, Machine Learning, and other teams to support the development and integration of semantics in products and services


Capital One rating

7.8

Company rating: 7.8 out of 10

Based on 148 frontline employees who took The Breakroom Quiz


Job description

Principal Associate, Ontology and Data Modeling

The role of the Principal Associate of Ontology and Data Modeling is to develop, implement, and maintain enterprise ontologies in support of Capital One's Data Strategy.

The Principal Associate of Ontology and Data Modeling, as part of Finance Products and Data Solutions, will be responsible for working collaboratively across Finance and Enterprise partners to develop domain ontologies in support of Enterprise initiatives. We are looking for someone to champion the creation and adoption of standardized data. The Principal Associate of Ontology and Data Modeling will be responsible for partnering with Technology, Product, and other Capital One teams to support the development and integration of semantic technology into Capital One products and services.

The Principal Associate of Ontology and Data Modeling should be capable of supporting an emerging and evolving semantic program at Capital One, capable of clearly communicating and advocating the value of using semantic technology and knowledge organization concepts.

Primary Responsibilities

  • Develop, implement and govern ontologies and optimized data models in consultation with stakeholders in teams dedicated to improving data discoverability, search, and product development

  • Contribute to data integration and mapping efforts to harmonize data with Capital One's upper and domain ontologies

  • Communicate and advocate the value of Capital One's efforts in ontologies, semantics, and standardization across the business.

  • Partner with Technology, Machine Learning, and other Capital One teams to support the development and integration of semantics in Capital One products and services

  • Analyze and implement knowledge organization strategies using tools capable of machine learning, ontology management, and semantic enrichment

  • Maintain awareness of competitor and industry developments related to ontology use, knowledge organization, data modeling, and machine learning

  • Understand and adhere to W3C standards related to ontologies, in particular RDF, RDFS, OWL, SKOS, and SHACL

  • Develop standards, guidelines, and direction for ontology, data modeling, semantics and Data Standardization in general at Capital One

  • Test/troubleshoot new or updated models and systems

  • Manage and oversee other projects as assigned by Product Owners and Supervisors

Role-Based Competencies

  • Intellectually Curious. You ask why, you explore, you're not afraid to blurt out your crazy idea or follow an email chain for weeks to find someone with an answer. Comfortable with ambiguity, a hunger to learn and a seeker of new challenges

  • Communicator & Influencer. You can communicate complex ideas clearly regardless of your audience. Our team knows their priorities and why they're doing what they're doing. You always can rally associates to work with you

  • Do-er. You're biased toward action, you try things and sometimes you fail. You can get around roadblocks and stay focused on your goals. You're well organized, able to multitask and able to prioritize your work

  • Passionate & Customer Focus. You care about growing others and bringing them together around what's possible. You get a thrill from the journey of building and shipping products, and you have a desire and ability to connect with our external or internal customers to fully understand their needs

  • Learner. You have an appetite to learn new things or new technologies all while exhibiting humbleness when the time comes to ask for help

  • Team Player. You enjoy working with diverse people and driving the team toward a common goal. You have the ability to put the team before yourself and establish long-lasting relationships

Basic Qualifications

  • Bachelor's degree in information science, computer science, engineering, library science, ontology, semantics, computational linguistics or a combination

  • At least 3 years' experience in a metadata field of work or a masters' degree in information science, computer science, engineering, library science, ontology, semantics, computational linguistics or a combination

  • At least 3 years' experience or training in using W3C standards including linked and canonical data and ontologies ( JSON, XML, RDF, RDFS, OWL, and SKOS)

  • At least 3 years' experience or training in ontology and linked data tools (Protege, TopQuadrant, PoolParty, Stardog, AnzoGraph, Neptune, or Data.World)

  • At least 3 years' experience of experience with SQL, SPARQL, or a combination

Preferred Qualifications

  • Master's degree in information science, computer science, engineering, library science, ontology, semantics or computational linguistics

  • Understanding of the development of ontologies and the use of controlled vocabularies and thesauri in enhancing the discovery of management of enterprise data

  • Familiarity with graph databases and technologies

  • Familiarity with Python or R

  • Familiarity with JSON, OpenAPI/YAML, AVRO

  • Familiarity with Agile principles, processes, and methodologies

  • Familiarity with Amazon Web Services

  • Detail-oriented and an ability to problem-solve independently

  • Strong reading and writing skills

  • Strong project management experience

  • Excellent communication skills and the ability to present ideas clearly and with confidence.

  • Ability to work individually and with a team to meet deadlines

At this time, Capital One will not sponsor a new applicant for employment authorization for this position.

The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.

Cambridge, MA: $131,300 - $149,800 for Principal Associate, Ontology and Data Modeling


McLean, VA: $131,300 - $149,800 for Principal Associate, Ontology and Data Modeling


New York, NY: $143,200 - $163,500 for Principal Associate, Ontology and Data Modeling


Plano, TX: $119,400 - $136,200 for Principal Associate, Ontology and Data Modeling


Richmond, VA: $119,400 - $136,200 for Principal Associate, Ontology and Data Modeling







Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter.

This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.

Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at theCapital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.

This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.

If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.

For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com

Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.

Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).


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