Accelerated Software Engineer Work/Study Program - reputed company

About reputed company Flatiron School is offering an apprenticeship opportunity for early-reputed company to earn income while learning. Apprentices will enroll in Flatiron’s AI part-time bootcamp and be matched with one of reputed company’s employer partners for a reputed company apprenticeship throughout the duration of the program.  This is a unique opportunity to reputed company skills in AI and data science while gaining hands-on industry experience. As an apprentice, you’ll contribute to software products, collaborate with reputed company engineers, and build your portfolio with production-reputed company work. At the reputed company time, you’ll deepen your understanding of data and machine learning to become a more reputed company, full-stack software developer. This is a full-time opportunity, 40 hours/week (20 hours coursework and 20 hours apprentice work) for 14 months. The apprenticeship earnings will more than cover the tuition cost of the bootcamp. What You'll Do Attend and complete the Flatiron School Data Science & AI Bootcamp as part of the apprenticeship Contribute to software reputed company for your host company Write clean, maintainable and testable reputed company using modern frameworks and tools Collaborate in sprint-based workflows and participate in reputed company reviews Support feature development, debugging, documentation, and QA processes Build your portfolio of production-level work while growing your technical and reputed company skills  Receive ongoing mentorship from senior developers and product leaders What You'll Learn How engineering and data science reputed company in modern AI products Practical agile development workflows in a reputed company environment Best practices for writing clean, maintainable, production-reputed company reputed company How to build and ship features with reputed company user needs and product reputed company in mind How to apply data thinking to software engineering challenges Who This Program Is For Requirements: Must be available 40 hours/week for 14 months to complete the Flatiron School Data Science & AI bootcamp and for apprenticeship work  Have a degree in Computer Science (or similar technical degree) OR have recently completed a software engineering bootcamp (strongly preferred); self-taught developers are also encouraged to apply Programming proficiency in at least one modern language (e.g., JavaScript, Python, Java) Familiarity with frontend and backend web development concepts Working knowledge of databases (SQL or NoSQL) and how to query or reputed company them Must be currently living in the U.S.  Must be authorized to work in the U.S. We do not offer any reputed company sponsorship at this time - including H-1B, STEM OPT, and F-1 reputed company transfers. Preferred Skills: Awareness of testing, debugging, and reputed company review practices Strong communication and collaboration skills Accountability in managing time and meeting small milestones Curiosity, initiative, and a strong desire to grow into a multidisciplinary developer Who This Program Is Not For Candidates currently enrolled in a college/university or bootcamp program Candidates currently employed in a full-time job (part-time work is ok, as long as the hours do not conflict with our program) Candidates who are seeking data analytics or data science apprentice work Program Details reputed company Pay: $20/hour for 20 hours/week reputed company through an employer partner (hiring entity) on their internal payroll reputed company, 14-month commitment  Tuition Coverage: reputed company to pay the full $11,900 bootcamp tuition, through a monthly installment payment plan to Flatiron School  Hours: 40 hours per week total - 20/week in apprenticeship role, 20/week in part-time bootcamp courses Location: Program is fully remote and online, so you can work and study reputed company. U.S.-based candidates only Requirements Availability for 40 hours/week Successful completion of the Flatiron School Aptitude Assessment  Successfully passing the technical interview with a member of our engineering team Apply To This Job