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Computer Science Engineering Jobs in Seattle, WA

Deloitte

Generative AI Engineer III

Seattle, WA · On-site

$65.50 - $88/hr

Required : • Bachelor's degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, or a quantitative field • 5+ years of professional experience designing, developing ...

Axon

Principal Machine Learning Engineer

Seattle, WA · Hybrid

Bachelor's Degree in Computer Science, Engineering, Physics, Mathematics or an equivalent highly technical field. * 13+ years of software engineering experience and a proven track record of ...

Starcloud

Software Engineer

Redmond, WA

$160K - $190K/yr

Bachelor's degree in Computer Science, Engineering, Math, or a related field, or 2+ years of professional experience in software development. * Proficiency in programming languages such as C, C ...

Axon

Senior Machine Learning Engineer II

Seattle, WA · Hybrid

$139K - $183K/yr

Bachelor's Degree in Computer Science, Engineering, Physics, Mathematics or an equivalent highly technical field. * 10+ years of software engineering experience and a proven track record of ...

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All JobsComputer Science Engineering JobsComputer Science Engineering Jobs in Seattle, WA

Computer Science Engineering information

See Seattle, WA salary details

$55.2K

$138.3K

$156.5K

How much do computer science engineering jobs pay per year?

As of Jun 20, 2026, the average yearly pay for computer science engineering in Seattle, WA is $138,288.00, according to ZipRecruiter salary data. Most workers in this role earn between $126,900.00 and $149,600.00 per year, depending on experience, location, and employer.

What is Computer Science Engineering?

Computer Science Engineering (CSE) is a branch of engineering that integrates computer science and engineering principles to design, develop, and maintain software and hardware systems. CSE professionals work on a wide range of technologies, including programming, algorithms, computer networks, databases, artificial intelligence, and cybersecurity. The field prepares graduates for careers in software development, systems analysis, data science, and more. It is one of the most in-demand disciplines due to the increasing reliance on technology across industries.

What is the difference between Computer Science Engineering vs Software Developer?

AspectComputer Science EngineeringSoftware Developer
Required CredentialsBachelor's in Computer Science or related field; sometimes certificationsBachelor's in Computer Science, Software Engineering, or related; certifications optional
Work EnvironmentUniversities, research labs, tech companies, R&D centersTech companies, startups, freelance projects, corporate IT teams
Industry UsageAcademic, research, product development, software designApplication development, coding, testing, deployment
Common Search/ComparisonFocuses on theoretical and foundational knowledgeFocuses on practical coding and project implementation

Computer Science Engineering and Software Developer roles overlap in skills and industry usage, but differ mainly in focus. Computer Science Engineering emphasizes theoretical foundations and research, while Software Developers concentrate on coding and building applications. Both roles are vital in tech industries, with CS Engineering often leading to research or academic careers, and Software Developers working on practical software solutions.

Can computer engineers make $500,000?

Computer engineers can potentially earn $500,000 or more annually, especially in senior roles, management, or specialized fields like software architecture, data science, or cybersecurity. Achieving this level often requires extensive experience, advanced skills, and sometimes working in high-paying industries or locations, along with additional certifications or advanced degrees.

What careers can you do with computer engineering?

Computer engineering graduates can pursue careers as software developers, hardware engineers, systems analysts, network administrators, cybersecurity specialists, and embedded systems engineers. These roles often require knowledge of programming languages, hardware design, and networking, and may involve working in technology companies, manufacturing, or research environments.

What can a computer science engineer do?

A computer science engineer designs, develops, and maintains software systems, applications, and algorithms. They work with programming languages, data structures, and software development tools, often collaborating in teams and following engineering best practices. Their roles can include software development, system analysis, cybersecurity, and data management.

What engineers make $500,000?

Senior software engineers, especially those in high-demand fields like AI, machine learning, or cybersecurity, can earn $500,000 or more annually, often through a combination of base salary, bonuses, and stock options. Achieving this level typically requires extensive experience, advanced skills, and working at large tech companies or startups with significant funding.

What are some common challenges faced by Computer Science Engineers in collaborative projects, and how can they be addressed?

Computer Science Engineers often work on multidisciplinary teams where communication gaps, differing technical backgrounds, and unclear project requirements can pose challenges. To address these, effective documentation, regular cross-functional meetings, and utilizing collaborative tools (like version control and project management platforms) are essential. Building strong communication skills and fostering a culture of open feedback help ensure everyone stays aligned and project goals are met efficiently.

What are the key skills and qualifications needed to thrive as a Computer Science Engineer, and why are they important?

To thrive as a Computer Science Engineer, you need strong programming skills, a solid grasp of algorithms, data structures, and systems design, typically backed by a degree in computer science or a related field. Familiarity with languages like Python, Java, or C++, version control systems such as Git, and certifications like AWS Certified Solutions Architect or CompTIA Security+ are often valuable. Analytical thinking, problem-solving abilities, and effective teamwork are standout soft skills in this role. These competencies are essential for developing robust software solutions, adapting to emerging technologies, and collaborating efficiently in dynamic engineering environments.
What are popular job titles related to Computer Science Engineering jobs in Seattle, WA? For Computer Science Engineering jobs in Seattle, WA, the most frequently searched job titles are:
What job categories do people searching Computer Science Engineering jobs in Seattle, WA look for? The top searched job categories for Computer Science Engineering jobs in Seattle, WA are:
Computer Science Engineering jobs near you
Infographic showing various Computer Science Engineering job openings in Seattle, WA as of June 2026, with employment types broken down into 77% Full Time, 19% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $138,288 per year, or $66.5 per hour.
Senior Data Scientist (Multiple Positions)

Senior Data Scientist (Multiple Positions)

TikTok

Bellevue, WA • On-site

Full-time

Posted 4 days ago

TikTok rating

7.6

Company rating: 7.6 out of 10

Based on 11 frontline employees who took The Breakroom Quiz

116th of 191 rated software companies

Job description

Job Summary:
TikTok is the leading destination for short-form mobile video, and they are seeking a Senior Data Scientist to provide insights that influence product development. The role involves applying advanced statistics and machine learning to analyze data, partner with various teams, and mentor junior Data Scientists.
Responsibilities:
• Provide insights to influence product development using advanced statistics, machine learning (ML), and programming.
• Apply quantitative analysis to understand data, provide actionable insights, and measure the data through experimentation and causal inference.
• Partner with Product, Engineering, User Research, Designer and other teams to solve problems and identify trends and opportunities.
• Build classification and clustering machine learning models to understand data characteristics.
• Visualize and synthesize analytics and statistical approaches into easy-to consume storylines for the team to provide indicated actions for executive audiences.
• Work with large, complex data sets to solve difficult, non-routine analysis problems by applying advanced analytical methods as needed.
• Apply quantitative analysis, experimentation, data mining, and the presentation of data to develop strategies for our products that serve billions of people and millions of businesses.
• Interact cross-functionally, making business recommendations with effective presentations of findings at multiple levels of stakeholders through visual displays of quantitative information.
• Mentor junior and intern Data Scientists.
Qualifications:
Required:
• Must have a Master’s degree or foreign equivalent degree in Computer Science, Engineering (any), Data Science, Analytics (any), Operations Research, Mathematics, or a related quantitative field, and 2 years of related work experience; OR a Bachelor’s degree or foreign equivalent degree in Computer Science, Engineering (any), Data Science, Analytics (any), Operations Research, Mathematics, or a related quantitative field, and 5 years of post-bachelor's, progressive related work experience.
• Of the required experience, must have 2 years of experience in each of the following: Mining, preparing, cleansing, and analyzing structured data using statistical computing languages SQL, Python, and R for metrics creation, root cause analysis, and model preprocessing;
• Using SQL queries and data visualization tools to gather, process, visualize, and analyze large quantities of data to detect trends and anomalies in support of business opportunity identification;
• Analyzing large quantities of data to detect anomalies using Python and statistical analysis techniques;
• Developing graphical and visual representations of data using business intelligence tool Excel or Tableau;
• Building, tuning, and validating statistical models for regression and classification problems in Python and R.
Company:
TikTok is a short-form video entertainment app and social network platform. It is a sub-organization of ByteDance. Founded in 2003, the company is headquartered in Los Angeles, USA, with a team of 10001+ employees. The company is currently Late Stage.

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