Job description

Job Overview

Coding Temple is seeking a full-time instructor for our 8-week live Data Analytics program. You will be responsible for lecturing and teaching students, including delivering key components of our course structure: daily lessons, class discussions and whiteboarding sessions. You'll also act as their go-to technical resource as they work through the program. You'll work with your technical team and foster a safe community within our student body. You will be the main techinical point of contact for Data Analytics students in your designated cohort with support from TA's and Student Success managers . Expected work hours are 9 AM - 6 PM.

We are looking for a passionate and results-driven individual who thrives in a rapidly growing start-up environment. If you live and breathe code as your craft and find joy in helping other people learn, Coding Temple is an ideal fit for you.

What we believe in:

First and most importantly, here are a few of our values when it comes to teaching someone how to be a developer:

• Problem-solving over syntax - We believe the syntax is the easy part of programming, whereas learning to think like an engineer is one of the most important skills we can teach.
• Quality over quantity – We’re interested in training true professionals, not getting as many people into our classes as possible. We emphasize small class sizes and value personal interactions with students.
• Real projects over tests – People learn to program best by tackling hard problems with a mentor, not following a list of steps or taking a quiz.
• Emphasis on open source – We deeply value the open source mindset and teach our students the importance of using and contributing to the open source ecosystem.

What the role and responsibilities look like:

As an instructor, you will serve as a lecturer and mentors to our students, helping them learn to think like engineers and hone their skills as a programmer. Our courses do not replace a Computer Science degree, but as an instructor, it is your job to ensure students know enough to compete in the job market. You’ll also help refine the curriculum to stay current with emerging tools and technology. Our maximum class size is 10 students, and there are additional staff members on-hand to assist with the running the program. Outside of class, you’re expected to be an active part of the development community in your city, and you may be required to act as a spokesperson for Coding Temple’s programs at events.

Requirements

Your qualities and experience:

• Self-starter who takes ownership of your role
• 2+ years of professional data engineering development experience
• Written and verbal communication skills.
• Deep Knowledge, Curiosity, and experience with Python, JavaScript, or Java
• Knowledge, understanding, and experience with the R programming language
• Technical expertise in data models, data mining, and segmentation techniques
• Knowledge and experience with Data Engineering Tools(Pandas,Numpy,Matplotlib,Seaborn)
• Knowledge of and experience creating Data pipelines
• Knowledge of Object Oriented Design concepts
• Knowledge of Data Structures and Algorithms.
• Knowledge of Cloud Data Engineering tools (GCP, AWS)
• Hands-on experience with SQL(Design, Queries) or other data management systems.
• Data engineering certification (e.g IBM Certified Data Engineer) is a plus
• Comfortable leading fluid discussions: the ability to work off of the scripted lecture to give dynamic, real-world examples.
• Experience working in a project management framework.
• High level of empathy and patience when working with students.
• Open and honest communication with staff and students
• You are capable of offering career guidance based on your own experiences and observations.

Compensation and benefits

• $70k - $80k Annually

Job Type: Full-time

Pay: $70,000.00 - $80,000.00 per year

Benefits:

• 401(k)
• 401(k) matching
• Dental insurance
• Health insurance
• Life insurance
• Paid time off
• Parental leave
• Professional development assistance
• Vision insurance

Schedule:

• 8 hour shift
• Day shift
• Monday to Friday
• Weekend availability

Work Location: Remote

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