[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.ResponsibilitiesDeliver 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 contingenciesManage 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 supportFacilitate Hands-On Labs: Guide students through practical exercises, troubleshooting code issues in real-time, and overseeing the final Capstone ProjectLeverage AI Tools: Integrate Google Gemini (primary) and other tools (ChatGPT, GitHub Copilot) into the classroom to demonstrate code generation, debugging, and explaining complex technical conceptsCurriculum & 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 dailySkillsBachelor's Degree in Computer Science, Data Science, or a related fieldOR Graduate of a rigorous Technical Bootcamp (Per Scholas alumni preferred)OR Equivalent Industry Experience in Data Engineering, Data Analytics, or Software DevelopmentMinimum 1 year of teaching, training, or mentoring experience in a technical environmentProficiency in using Google Gemini to assist in coding, debugging, and instructional workflowsProficiency in Unix/Linux command line navigation and basic shell scriptingExperience with Git and GitHub for version control and collaborationAdvanced proficiency in Python, including data manipulation and analysis using NumPy and PandasIn-depth knowledge of Relational Databases, SQL programming, and database design principlesPractical experience with Apache Spark, Spark SQL, and ETL/ELT data warehousing processesStrong proficiency in Tableau (required for specific curriculum modules) and Python libraries like Matplotlib/SeabornExperience with AWS services relevant to data analytics (e.g., Redshift, Athena, QuickSight, AWS Blueprint)3+ years of experience in adult education or bootcamp-style trainingFamiliarity with Docker and KubernetesKnowledge of CI/CD tools and processes such as JenkinsFamiliarity with Hadoop frameworksAWS Certified Data Analytics, Google Data Analytics Professional Certificate, or Databricks Certified AssociateBenefitsComprehensive healthcare401K matchSelf-development opportunitiesCompany OverviewPer Scholas is proud to celebrate 30 years of fostering economic mobility by giving individuals from diverse backgrounds access to high-growth tech careers. It was founded in 1995, and is headquartered in Bronx, NY, US, with a workforce of 201-500 employees. Its website is http://www.perscholas.org/.



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