Data Engineering Instructor

ABOUT PER SCHOLAS:

For 30 years, Per Scholas has been on a mission to drive mobility and opportunity in the ever-advancing technology landscape by unlocking the untapped potential of individuals, uplifting communities, and meeting the needs of employers through rigorous tech training. By teaming up with dynamic employer partners, ranging from Fortune 500 companies to innovative startups, we're forging inclusive tech talent pipelines, fulfilling an ever-increasing need for skilled talent. With national remote training and campuses in 20+ cities and counting, Per Scholas offers no-cost training programs in the most sought-after tech skills, spanning Cloud, Cybersecurity, Data Engineering, IT Support, Software Engineering, and more. To date, 30,000+ individuals have been trained through Per Scholas, propelling their professional trajectories into high-growth tech careers with salaries three times higher than their pre-training earnings. Learn more by visiting PerScholas.org and follow us on LinkedIn, X, Facebook, Instagram, and YouTube.

Per Scholas preferred hires reside within the following states: AZ, CA, CO, FL, GA, IL, IN, KS, MD, MA, MI, MO, NC, NJ, NY, OH, PA, TX, WA

 

POSITION TITLE: Data Engineering Instructor

LOCATION:  Tampa, Florida

SCHEDULE: In-person

DURATION: Contract, 4 months (16 weeks+)

REPORTS TO: Director, Technical Instruction

COMPENSATION: 60$/hour

WHO WE ARE LOOKING FOR

Per Scholas is seeking a dynamic, detail-oriented Data Engineering Instructor to join our team. We are looking for a problem-solver with a strong technical background in modern data pipelines, cloud technologies, and AI integration.

To succeed in this role, you must be business-minded, mission-driven, and capable of translating complex technical concepts into job-ready skills for diverse learners. You will lead a cohort through a rigorous training program, preparing them for entry-to-mid-level careers in Data Engineering.

WHAT YOU’LL DO

• Deliver High-Quality Instruction: Lead daily live technical training in-person, covering the full Data Engineering lifecycle including Linux, Python, SQL, Big Data frameworks, and Cloud technologies. You must be prepared to seamlessly pivot to Zoom-based remote instruction if required by business contingencies.
• Manage Student Performance: Monitor individual progress, grade assessments (KBAs via Canvas, SBAs via HackerRank), manage attendance, and provide one-on-one tutoring for learners who need additional support.
• Facilitate Hands-On Labs: Guide students through practical exercises, troubleshooting code issues in real-time, and overseeing the final Capstone Project.
• Leverage AI Tools: Integrate Google Gemini (primary) and other tools (ChatGPT, GitHub Copilot) into the classroom to demonstrate code generation, debugging, and explaining complex technical concepts.
• Curriculum & Platform Support: Maintain lesson plans and manage external learning platforms, including enrolling and tracking learner progress in Coursera for the Google Data Analytics Professional Certificate modules (specifically Tableau).
• Administrative Duties: Update the LMS (Canvas, Salesforce) and communication channels (Slack) with attendance, grades, and progress notes daily.

WHAT YOU’LL BRING TO US

Must-Have Qualifications (Required)

• Education & Background (One of the following is required):
• Bachelor’s Degree in Computer Science, Data Science, or a related field.
• OR Graduate of a rigorous Technical Bootcamp (Per Scholas alumni preferred).
• OR Equivalent Industry Experience in Data Engineering, Data Analytics, or Software Development.
• Teaching Experience: Minimum 1 year of teaching, training, or mentoring experience in a technical environment.
• AI Integration: Proficiency in using Google Gemini to assist in coding, debugging, and instructional workflows.
• Scripting & Automation: Proficiency in Unix/Linux com