Data Engineering Instructor

Atlanta, Georgia, United States

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:  Atlanta, Georgia 

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 command line navigation and basic shell scripting.
  • Version Control: Experience with Git and GitHub for version control and collaboration.
  • Python Programming: Advanced proficiency in Python, including data manipulation and analysis using NumPy and Pandas.
  • Database Expertise: In-depth knowledge of Relational Databases, SQL programming, and database design principles.
  • Big Data & ETL: Practical experience with Apache Spark, Spark SQL, and ETL/ELT data warehousing processes.
  • Data Visualization: Strong proficiency in Tableau (required for specific curriculum modules) and Python libraries like Matplotlib/Seaborn.
  • Cloud Technologies: Experience with AWS services relevant to data analytics (e.g., Redshift, Athena, QuickSight, AWS Blueprint).

Good-to-Have Qualifications (Preferred)

  • Advanced Teaching Experience: 3+ years of experience in adult education or bootcamp-style training.
  • Containerization: Familiarity with Docker and Kubernetes.
  • CI/CD: Knowledge of CI/CD tools and processes such as Jenkins.
  • Hadoop Ecosystems: Familiarity with Hadoop frameworks.
  • Certifications: AWS Certified Data Analytics, Google Data Analytics Professional Certificate, or Databricks Certified Associate.

PERSONAL CHARACTERISTICS

  • Mission Alignment: You believe that talent is ubiquitous but opportunity is not, and you are passionate about creating on-ramps for diverse communities.
  • Agility: You thrive in a fast-paced environment and can adapt quickly to changes in the classroom or curriculum.
  • Data-Driven: You use student performance data to identify gaps and adjust your teaching strategies accordingly.
  • Life-Long Learner: You stay updated on the latest trends in Data Engineering and AI.

WHY WORK HERE?

  • Impact: Make a tangible difference in the lives of individuals by providing them with the skills to launch sustainable careers.
  • Culture: Join a supportive, collaborative, and diverse team that values innovation and work-life balance.

Benefits: Enjoy a competitive salary, comprehensive healthcare, 401K match, and self-development opportunities.

QUESTIONS?

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!

Equal Employment Opportunity

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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