Instructional Assistant (Data Engineer) (3-6 month contract)

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.

• →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.

• 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).

• 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.

• 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.

• 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.

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.

• 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.

If you have any questions about this role, please feel free to email our Talent team at jobs@perscholas.org. We look forward to viewing your application!

We're proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, race, color, religion, sex, sexual orientation, gender identity or national origin.

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