Position Title: Instructional Assistant, Data Engineering

Department: National Training Team / Remote Training

Reports To: Manager, Remote Training

Employment Type: Contract

Location: Tampa, FL 

WHO WE ARE

Per Scholas Inc. is a national nonprofit advancing economic mobility for 30 years. Through rigorous technical training, professional development, and strong employer partnerships, we prepare individuals traditionally underrepresented in tech for high-growth careers. With campuses in 17 cities and over 15,000 graduates, we’re building a more diverse and inclusive tech workforce by connecting talent to opportunity.

WHAT YOU WILL DO

As an Instructional Assistant (IA), you are the critical bridge between the Lead Instructor and the learners. You will support the delivery of a rigorous Data Engineering curriculum while ensuring student success through tutoring, grading, and classroom management.

Instructional Support & Tutoring

• Lab Facilitation: actively circulate (virtually or physically) during hands-on labs to help learners troubleshoot code in Python, SQL, and Linux environments.
• Targeted Tutoring: Lead instructor-approved study groups and provide one-on-one tutoring for learners struggling with specific concepts (e.g., ETL pipelines, DataFrames).
• Substitute Teaching: Be prepared to step in and lead a lesson, review session, or proctor an exam in the event of a short-term instructor absence.
• AI Integration: Model the use of Google Gemini to help students debug their own code, ensuring they understand the logic rather than just copying answers.

Learner Management & Administration

• Progress Tracking: Implement individualized study plans for at-risk learners and collaborate with the detailed learner progress reviews.
• Administrative Duties: Take and track daily attendance and enter real-time grades in Salesforce and Canvas.
• Platform Management: Assist in setting up HackerRank assessments and tracking completion of Coursera modules (Google Data Analytics Certificate).
• Classroom Decorum: Enforce and model professional standards, including dress code, punctuality, and respectful communication.
• Equipment: Ensure any classroom or borrowed equipment is used properly and returned/stored (if applicable).

WHAT YOU’LL BRING TO US

Education & Experience (Must meet one of the following)

• 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.

Technical Must-Haves

• Python Proficiency: Strong functional knowledge of Python. You must be able to troubleshoot logic errors in Pandas, NumPy, and basic scripts.
• SQL Mastery: Ability to write and explain intermediate queries (Joins, Aggregations, Subqueries) and troubleshoot database connection issues.
• Linux Fundamentals: Comfortable with CLI navigation, file management, and basic permissions.
• AI Adaptability: Proficiency in using Google Gemini (or ChatGPT) as a teaching aid and productivity tool.

Technical Good-to-Haves

• Cloud Exposure: Familiarity with AWS services (S3, RDS) or the AWS Cloud Practitioner certification.
• Visualization: Experience creating dashboards in Tableau or PowerBI.
• Big Data: Conceptual understanding of Apache Spark or Hadoop ecosystems.

TECHNICAL ENVIRONMENT

You will need to support learners on the following platforms and tools:

• Coding: VS Code, Jupyter Notebooks, Google Colab.
• LMS & CRM: Canvas, Salesforce.
• Assessment: HackerRank, Coursera.
• Communication: Zoom, Slack.

PERSONAL CHARACTERISTICS

• Agile: You thrive in a fast-paced environment and can adapt quickly to changes in the schedule or curriculum.
• Proactive: You anticipate student struggles and intervene early before they fall behind.
• Collaborative: You work seamlessly with the Lead Instructor, acting as a unified teaching team.

Mission-Driven: You are passionate about creating access to high-growth tech careers for diverse communities.

The hourly rate for this position is $20/hour 

#LI-Onsite