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Types Of Coding Jobs in Albuquerque, NM (NOW HIRING)

While the roles described here reflect the types of positions we typically recruit for, we want to ... Writing and debugging code in languages such as C#, Java, Python, or C++ * Participating on an ...

Follow all production, safety and quality standards, codes, and industry best practices ... Should be able to pull all types of low voltage cable. * Should understand and be capable in ...

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Types Of Coding information

See Albuquerque, NM salary details

$13

$32

$52

How much do types of coding jobs pay per hour?

As of Aug 13, 2026, the average hourly pay for types of coding in Albuquerque, NM is $32.01, according to ZipRecruiter salary data. Most workers in this role earn between $24.23 and $38.70 per hour, depending on experience, location, and employer.

What is the difference between Types Of Coding vs Web Developer?

AspectTypes Of CodingWeb Developer
Required CredentialsBasic programming knowledge, certifications varyHTML, CSS, JavaScript, often with certifications or degrees
Work EnvironmentVarious, including software, hardware, embedded systemsPrimarily office or remote, focused on website and app development
Industry UsageUsed across multiple tech sectorsPrimarily in tech, marketing, and digital industries
Search & Comparison IntentUnderstanding different coding typesLearning web development skills

While Types Of Coding refers to various programming languages and coding methods used across different tech fields, a Web Developer specializes in creating and maintaining websites using specific web technologies like HTML, CSS, and JavaScript. Both roles require coding skills, but Types Of Coding covers a broader spectrum, whereas Web Developers focus on web-based projects.

What are types of coding?

Types of coding refer to the various programming languages and paradigms used to create software, websites, apps, and more. Common types include front-end coding (like HTML, CSS, and JavaScript) for designing user interfaces, back-end coding (such as Python, Java, or Ruby) for server-side logic, and database coding (like SQL) for managing data. There are also specialized types like mobile app coding (Swift, Kotlin), game development (C++, Unity), and data science coding (Python, R). Each type of coding serves different purposes and requires specific knowledge and skills.

What are some common challenges faced by professionals working in different types of coding roles, such as front-end, back-end, and full-stack development?

Professionals in various coding roles often encounter unique challenges depending on their focus area. Front-end developers may struggle with cross-browser compatibility and creating responsive designs, while back-end developers often address scalability and database integration issues. Full-stack developers face the dual challenge of staying updated with both client-side and server-side technologies, as well as managing communication between the two. Regardless of specialization, effective collaboration with designers, project managers, and other developers is essential for delivering cohesive software solutions. Regularly updating skills and adapting to new tools are also key aspects of thriving in any coding role.

What are the key skills and qualifications needed to thrive as a computer programmer, and why are they important?

To thrive as a Computer Programmer, you need strong problem-solving abilities, proficiency in programming languages (such as Python, Java, or C++), and typically a degree in computer science or a related field. Familiarity with version control systems like Git, integrated development environments (IDEs), and debugging tools is essential. Attention to detail, effective communication, and the ability to collaborate with team members are vital soft skills. These skills and qualities ensure the ability to write efficient code, troubleshoot issues, and contribute to successful software development projects.
Infographic showing various Types Of Coding job openings in Albuquerque, NM as of August 2026, with employment types broken down into 2% Internship, 1% As Needed, 81% Full Time, 13% Part Time, 2% Contract, and 1% Nights. Highlights an 91% Physical, 1% Hybrid, and 8% Remote job distribution, with an average salary of $66,576 per year, or $32 per hour.

Neurosciences Data Specialist

University of New Mexico

Albuquerque, NM

Full-time

Re-posted 9 days ago


University Of New Mexico rating

8.4

Company rating: 8.4 out of 10

Based on 55 frontline employees who took The Breakroom Quiz

99th of 618 rated colleges and universities


Job description

This position is a term appointment ending 6/30/28, subject to availability of additional funding. Due to budgetary constraints, we are unable to sponsor or take over sponsorship of an employment Visa. Applicants must be authorized to work in the United States on a full-time basis.

The UNM Health Sciences Library & Informatics Center and School of Medicine's Department of Neuroscience are looking for someone innovative with experience in data curation and data science, who is excited to advance our understanding of the brain by building more robust data analytic pipelines.

The Department of Neurosciences works with numerous types of clinical and preclinical data, including: EEG, electrophysiology, microscopy, and OMICs datasets. The successful candidate will work closely with Neurosciences researchers to develop innovative solutions for research data management, curation, and sharing. The candidate will use tools such as SQL, Python, and GitHub to create and maintain novel solutions for data curation, organization, and dissemination to support cutting-edge research.

Duties include:

  • Consults with and advises Department of Neurosciences researchers on preparing and managing data to meet regulatory and funder requirements for data sharing, research transparency, and rigor.
  • Assists in designing novel solutions for data curation, organization, and dissemination to support cutting-edge research.
  • Designs, develops, and maintains reproducible data workflows.
  • Develops data pipelines, scripts, and high-quality metadata to support research replication and transparency.
  • Addresses a variety of data integration issues including migration of data between disparate sources and conversion to neurosciences-specific data standards, such as those established by Neurodata Without Borders.
  • Provides support for version control through adoption of Git-based tools and code archiving.
  • Assists in migration of data to repositories, databases, and electronic lab notebooks.
  • Assists with utilization of LabArchives for organizing and sharing research data.
  • Supervises and trains up to six students in the management of research data and creation of reproducible data pipelines.
  • Collaborates with university IT to ensure that solutions meet local requirements for data security and privacy protections.

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