Data Engineering Instructor at Per Scholas in Tampa, FL

Summary: Per Scholas is a nonprofit organization dedicated to providing rigorous tech training to individuals seeking to advance their careers in technology. They are looking for a Data Engineering Instructor to lead a cohort through a comprehensive training program, focusing on modern data pipelines and cloud technologies while preparing students for entry-to-mid-level careers in Data Engineering. 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 Required Qualifications: - Bachelor's Degree in Computer Science, Data Science, or a related field - Graduate of a rigorous Technical Bootcamp (Per Scholas alumni preferred) - 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) Preferred Qualifications: - 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 Required Skills: Data Engineering, Python Programming, SQL Programming, Cloud Technologies Important Skills: AI Integration, Big Data & ETL, Data Visualization, Version Control Nice-to-Have Skills: Teaching Experience, Scripting & Automation, Containerization, CI/CD, Hadoop Ecosystems, Certifications Benefits: Comprehensive healthcare, 401K match, Self-development opportunities