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Associate Computer Science Jobs in Santa Rosa, CA

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Associate Computer Science information

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$10

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$34

How much do associate computer science jobs pay per hour?

As of Aug 19, 2026, the average hourly pay for associate computer science in Santa Rosa, CA is $20.79, according to ZipRecruiter salary data. Most workers in this role earn between $16.54 and $22.07 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 Santa Rosa, CA?

The most popular types of Computer Science jobs in Santa Rosa, CA are:

What job categories do people searching Associate Computer Science jobs in Santa Rosa, CA look for?

The top searched job categories for Associate Computer Science jobs in Santa Rosa, CA are:

What cities near Santa Rosa, CA are hiring for Associate Computer Science jobs?

Cities near Santa Rosa, CA with the most Associate Computer Science job openings:

Associate Computer Science jobs near you
Infographic showing various Associate Computer Science job openings in Santa Rosa, CA as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 13% Part Time, 4% Contract, and 1% Nights. Highlights an 79% Physical, 2% Hybrid, and 19% Remote job distribution, with an average salary of $43,240 per year, or $20.8 per hour.

AI/ML Software Engineer

iTradeNetwork, Inc.

Bodega Bay, CA • On-site

$40/hr

Full-time

Re-posted 4 days ago

Job description

JOB SUMMARY

We are building an AI-first company - which means AI isn't a feature we bolt on; it's the foundation of how we design products, make decisions, and ship software. As an Associate AI/ML Full Stack Developer, you'll be on the front lines of that mission: building intelligent, production-ready applications that put machine learning at the core of the user experience.

This is a role for someone who wants to grow fast. You'll work alongside experienced engineers and data scientists on real problems, ship code that matters, and develop deep expertise at the intersection of AI/ML and full stack development - all in service of one of the most consequential industries in the world.

Key Responsibilities:
  • Build and ship AI-powered full stack applications - from model integration to user-facing interfaces - using modern frameworks and cloud-native infrastructure.
  • Partner with data scientists to bring ML models into production: wrapping them in APIs, optimizing inference pipelines, and monitoring performance in live environments.
  • Own end-to-end data pipelines that support model training, validation, and deployment workflows.
  • Develop frontend experiences (React or similar) that surface AI-driven insights in intuitive, responsive interfaces.
  • Contribute to backend services and microservices that power model serving, data ingestion, and business logic.
  • Participate in code reviews and collaborative design discussions - learning from senior engineers while sharing your own perspective.
  • Stay current with the AI/ML landscape: new architectures, tooling, and frameworks move fast, and so do we.
What you'll need:

Required:

  • Bachelor's degree in Computer Science or a related technical field (or equivalent practical experience).
  • Solid grounding in data structures, algorithms, and object-oriented programming.
  • Understanding of core AI/ML concepts: supervised and unsupervised learning, neural networks, model evaluation.
  • Proficiency in at least one backend language - Python strongly preferred given its centrality to the ML ecosystem.
  • Hands-on experience with web development (React, Angular, or comparable framework).
  • Comfort with both SQL and NoSQL databases.
  • A problem-solving mindset and genuine curiosity about how AI can change the way software works.

Nice to Have:

  • Experience with Python ML libraries: TensorFlow, PyTorch, or Scikit-learn.
  • Familiarity with cloud platforms (AWS, GCP, or Azure) and deploying ML workloads in the cloud.
  • Exposure to LLM APIs, prompt engineering, or retrieval-augmented generation (RAG) patterns.
  • Knowledge of MLOps tooling: experiment tracking, model registries, CI/CD for ML pipelines.
  • Project or coursework experience building AI/ML applications end-to-end.

Who you are:

  • You think AI-first - when approaching a problem, your instinct is to ask how intelligence can be built into the solution, not added as an afterthought.
  • You move fast and learn faster. You're comfortable with ambiguity and excited by the pace of change in the AI space.
  • You communicate clearly and collaborate naturally across disciplines - you can talk to a data scientist about model architecture and to a product manager about tradeoffs.
  • You take ownership. You don't wait to be told what to do next; you find the next important thing and work on it.
  • You care about craft - clean code, thoughtful documentation, and systems that are built to last.

Base Compensation: $40/hr

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