[Remote] Data Engineering Instructor

Note: The job is a remote job and is open to candidates in USA. Per Scholas is a nonprofit organization focused on providing tech training to individuals and communities. They are seeking a Data Engineering Instructor to deliver high-quality instruction in Data Engineering, manage student performance, and facilitate hands-on labs while integrating AI tools into the curriculum.

Responsibilities

• 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

Skills

• 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
• Minimum 1 year of teaching, training, or mentoring experience in a technical environment
• Proficiency in using Google Gemini to assist in coding, debugging, and instructional workflows
• Proficiency in Unix/Linux command line navigation and basic shell scripting
• Experience with Git and GitHub for version control and collaboration
• Advanced proficiency in Python, including data manipulation and analysis using NumPy and Pandas
• In-depth knowledge of Relational Databases, SQL programming, and database design principles
• Practical experience with Apache Spark, Spark SQL, and ETL/ELT data warehousing processes
• Strong proficiency in Tableau (required for specific curriculum modules) and Python libraries like Matplotlib/Seaborn
• Experience with AWS services relevant to data analytics (e.g., Redshift, Athena, QuickSight, AWS Blueprint)
• 3+ years of experience in adult education or bootcamp-style training
• Familiarity with Docker and Kubernetes
• Knowledge of CI/CD tools and processes such as Jenkins
• Familiarity with Hadoop frameworks
• AWS Certified Data Analytics, Google Data Analytics Professional Certificate, or Databricks Certified Associate

Benefits

• Comprehensive healthcare
• 401K match
• Self-development opportunities

Company Overview