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Data Science Boot Camp Jobs in Georgia (NOW HIRING)

Tata Consultancy Services

Java Tech Architect

Atlanta, GA · On-site

$60.50 - $81.75/hr

... Boot microservices deployed on AWS EKS (Fargate) • Define end to end application, cloud, and data ... COMPUTER SCIENCE Company : Tata Consultancy Services is a business solutions company that ...

Tata Consultancy Services

Java Tech Lead

Atlanta, GA · On-site

... to translate data into actionable insights Qualifications : Required : • BACHELOR OF COMPUTER SCIENCE • 6 - 18 Years of experience • Java • J2EE • Angular 17 • Spring Boot • ...

CYNET SYSTEMS

Java Full Stack Developer

Atlanta, GA · On-site

$45 - $50/hr

Implement backend services using Spring Boot and Microservices architecture. * Manage data ... We deliver agile, scalable talent solutions across IT, engineering, life sciences, clinical, and ...

CYNET SYSTEMS

Java Full Stack Developer

Atlanta, GA · On-site

$45 - $50/hr

Implement backend services using Spring Boot and Microservices architecture. * Manage data ... We deliver agile, scalable talent solutions across IT, engineering, life sciences, clinical, and ...

CYNET SYSTEMS

Java Full Stack Developer

Atlanta, GA · On-site

$45 - $50/hr

Implement backend services using Spring Boot and Microservices architecture. * Manage data ... We deliver agile, scalable talent solutions across IT, engineering, life sciences, clinical, and ...

Droisys

Sr Java Developer

Atlanta, GA · On-site

$55 - $70.25/hr

Bachelor''s degree in Computer Science, Information Technology, or a related field. * 8+ years of ... Expertise in Spring Boot, Spring MVC, Spring Data JPA, and Spring Security. * Experience developing ...

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Data Science Boot Camp information

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

As of Aug 13, 2026, the average hourly pay for data science boot camp in Georgia is $32.58, according to ZipRecruiter salary data. Most workers in this role earn between $14.21 and $48.44 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 Georgia? For Data Science Boot Camp jobs in Georgia, the most frequently searched job titles are:
What job categories do people searching Data Science Boot Camp jobs in Georgia look for? The top searched job categories for Data Science Boot Camp jobs in Georgia are:
What cities in Georgia are hiring for Data Science Boot Camp jobs? Cities in Georgia with the most Data Science Boot Camp job openings:
Data Science Boot Camp jobs near you

FACE TO FACE INTERVIEW - Java Backend Developer with Banking - Alpharetta, GA -Need Local - c2c job

Zodiac Solutions

Alpharetta, GA • On-site

$49.25 - $64/hr

Contractor

Re-posted 16 days ago

Job description

Job Title: Java Backend Developer (Banking Domain)

Location: Alpharetta, GA (Hybrid/On-site)
Job Type: Contract opportunity

In-Person/ Face to Face interview is mandatory

Key Responsibilities

  • Design, develop, and maintain robust, scalable backend services using Java (Java 8/11/17) and Spring Boot.
  • Build and integrate RESTful APIs and microservices to support banking and financial operations.
  • Collaborate with front-end developers, architects, and QA engineers to ensure seamless end-to-end application delivery.
  • Write efficient, clean, and well-documented code following best practices.
  • Participate in code reviews, performance tuning, and optimization.
  • Work closely with product owners and business analysts to translate requirements into technical solutions.
  • Ensure compliance with security, data privacy, and regulatory standards common in the banking industry.
  • Troubleshoot production issues and provide timely resolutions.

Required Qualifications

  • Bachelor’s degree in Computer Science, Engineering, or related field.
  • 5+ years of backend development experience using Java / J2EE.
  • Strong knowledge of Spring Framework (Spring Boot, Spring Data, Spring Security).
  • Hands-on experience with REST APIs, Microservices, and Messaging Queues (Kafka, RabbitMQ, etc.).
  • Experience with SQL/NoSQL databases such as Oracle, PostgreSQL, or MongoDB.
  • Familiarity with CI/CD pipelines (Jenkins, GitLab, Maven, Gradle).
  • Experience in banking, financial services, or fintech environments — understanding of core banking systems, payments, or transaction processing.
  • Knowledge of Agile methodologies and DevOps practices.
 
Thanks,
Sanjay Kumar
sanjay.kumar@zodiac-solutions.com
linkedin.com/in/sanjay-kumar-sann-841825172