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Data Science Boot Camp Jobs in Seattle, WA (NOW HIRING)

Pacific Science Center

Camps Site Lead

Seattle, WA · On-site

$23.20/hr

Data shows that women and BIPOC candidates more frequently do not apply to a job because they don't ... of one camp location and communicate with Camps admin and relevant Pacific Science Center ...

Pacific Science Center

Camps Lead Educator

Seattle, WA · On-site

$22.20/hr

Data shows that women and BIPOC candidates more frequently do not apply to a job because they don't ... Past summer camp experience • Passion for science education and early child development • ...

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All JobsData Science Boot Camp JobsData Science Boot Camp Jobs in Seattle, WA

Data Science Boot Camp information

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$45

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How much do data science boot camp jobs pay per hour?

As of Aug 7, 2026, the average hourly pay for data science boot camp in Seattle, WA is $45.32, according to ZipRecruiter salary data. Most workers in this role earn between $19.77 and $67.38 per hour, depending on experience, location, and employer.

What is a data science boot camp?

A Data Science Boot Camp is an intensive, short-term training program designed to teach participants the foundational skills and practical tools needed to start a career in data science. These programs typically cover topics such as programming in Python or R, data analysis, machine learning, statistics, and data visualization. Unlike traditional degree programs, boot camps focus on hands-on projects and real-world applications to help students build a portfolio. Many boot camps also offer career support, including resume reviews and interview preparation. They are ideal for individuals looking to transition into data science or enhance their skill set quickly.

What jobs can you get after a data science boot camp?

Graduates of a data science boot camp can pursue roles such as data analyst, data scientist, machine learning engineer, or business intelligence analyst. These positions typically require skills in programming languages like Python or R, data visualization, statistical analysis, and experience with tools like SQL and Tableau.

What is the difference between Data Science Boot Camp vs Data Analyst?

AspectData Science Boot CampData Analyst
CredentialsIntensive training, certificates, no formal degree requiredOften requires a bachelor's degree in related fields
Work EnvironmentProject-based, fast-paced learning environmentOffice setting, routine data reporting
Industry UsagePrepares for entry-level data roles, tech startups, consultingBusiness, finance, healthcare, government sectors

The Data Science Boot Camp provides intensive, short-term training focused on technical skills like coding, machine learning, and data manipulation, ideal for those seeking quick entry into data roles. Data Analysts typically have formal degrees and focus on interpreting data, creating reports, and supporting business decisions. Both roles are in demand across industries, but the Boot Camp is more geared toward rapid skill acquisition for tech-driven roles, while Data Analysts often have a broader educational background and focus on data interpretation.

How do I get a job in data science with no experience?

To get a data science job with no experience, focus on building relevant skills such as programming in Python or R, understanding statistics, and working with data tools like SQL and machine learning libraries. Completing a data science boot camp, creating a portfolio of projects, and gaining practical experience through internships or freelance work can improve your chances. Certifications and continuous learning also help demonstrate your commitment and knowledge to employers.

What are the key skills and qualifications needed to thrive in a data science boot camp, and why are they important?

To thrive in a Data Science Boot Camp, you need a solid understanding of statistics, programming (typically Python or R), and basic data analysis concepts, often supported by a relevant degree or foundational coursework. Familiarity with tools like Jupyter Notebook, SQL, and libraries such as pandas, scikit-learn, and TensorFlow is commonly expected. Strong problem-solving skills, curiosity, and effective communication help participants collaborate and interpret data-driven insights. These skills and qualities are crucial for successfully mastering complex topics and transitioning to real-world data science roles.

What are some common challenges students face during a data science boot camp, and how can they overcome them?

Students in a Data Science Boot Camp often encounter challenges such as managing a fast-paced learning schedule, grasping complex concepts like machine learning algorithms, and effectively collaborating on group projects. To overcome these, it's important to stay organized, regularly review material, and actively participate in discussions and coding exercises. Building a support network with peers and seeking guidance from instructors can also help in navigating difficult topics and maintaining motivation throughout the program.

Is a data science boot camp enough to get a job?

A data science boot camp can provide foundational skills in programming, statistics, and tools like Python and SQL, which are valuable for entry-level data science roles. However, securing a job often also depends on prior experience, portfolio projects, networking, and continuous learning beyond the boot camp.
What are popular job titles related to Data Science Boot Camp jobs in Seattle, WA? For Data Science Boot Camp jobs in Seattle, WA, the most frequently searched job titles are:
What job categories do people searching Data Science Boot Camp jobs in Seattle, WA look for? The top searched job categories for Data Science Boot Camp jobs in Seattle, WA are:
What cities near Seattle, WA are hiring for Data Science Boot Camp jobs? Cities near Seattle, WA with the most Data Science Boot Camp job openings:
Data Science Boot Camp jobs near you

Java Application Developer - Spring Boot

SynergisticIT

Bellevue, WA • On-site

$57.25 - $74/hr

Other

Posted 21 days ago

Job description

Junior Java Spring Boot Developer — Build Enterprise-Style Applications Many enterprise teams rely on Java and Spring Boot for backend applications, APIs, and business-critical systems. If you are interested in backend or full-stack development, Java Spring Boot can be a strong path. But junior candidates need to understand more than annotations and syntax—they need to build, test, debug, and explain applications. SynergisticIT is seeking candidates interested in Core Java, Spring Boot, REST APIs, microservices, SQL, Git, testing basics, application architecture, and cloud-ready development. This opportunity is ideal for candidates who want to strengthen their backend skills and become more prepared for junior Java roles. Since 2010, we've helped thousands of candidates land full-time jobs at tech leaders like Google, Apple, PayPal, Visa, Western Union, Wells Fargo, Client, Paypal, Banking, Wayfair, Client, Client and hundreds more with Job offers of $95k to $154k. Synergisticit focuses on closing the gap between your tech skills and what employers want now. Currently, We are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/Data Engineers/ Data Scientists, Machine Learning engineers for full time positions with clients. We Focus on Java /Full stack/Devops and Data Science /Data Engineers/Data analysts/BI Analysts/ Machine learning/AI candidates Ideal Candidates: Recent grads in CS, Engineering, Math, or Statistics with limited or no job experience Jobseekers who had layoffs due to Downsizing and want to get in demand tech stack Professionals seeking a career switch to tech Candidates with career gaps or lacking real-world experience Individuals looking to boost their skill portfolio for better job prospects Computer Science grads with limited or no job experience Students who recently finished their Bachelor's or Master's programs Those struggling to land interviews despite having experience please read our blogs Why do Tech Companies not Hire recent Computer Science Graduates | https://www.synergisticit.com/why-tech-companies-dont-hire-recent-cs-graduates/ Technical Skills or Experience? | Which one is important to get a Job? | https://www.synergisticit.com/tech-skill-or-experience-which-one-is-more-important-for-a-jobseeker/ Please check below links: Synergisticit Industry Event videos (OCW, JavaOne, Gartner data Analytics): https://fast.wistia.com/embed/channel/k4mlq69ekl USA Today feature Explore JOPP: https://www.synergisticit.com/jopp/ Contact: https://www.synergisticit.com/contact-us/ SynergisticIT JOPP is good for Spring Boot candidates because it helps them build job-ready proof. Candidates can improve project depth, align resumes with employer keywords, practice technical interviews, and learn how to present their Java work more effectively to hiring teams. Build stronger Java Spring Boot skills and prepare for real opportunities—Contact us. Please note: Resume databases are shared with clients and interested clients will reach out directly if they find a qualified candidate for their req. Resume submissions may be shared with our JOPP team database also. Please unsubscribe if contacted or if you don't want to be contacted please don't submit your resume.

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