Data Engineer + Associate Instructor

Overview

Newton School of Technology (NST) is a new-age institution redefining technical education in India. Founded by IIT alumni, NST offers a 4-year B. Tech in Computer Science and AI, focused on hands-on learning and deep industry integration. Within two years, over 93% of students have secured paid internships with companies like Razorpay, SarvamAI, and DRDO, along with global exposure through tech treks to Singapore and Silicon Valley. Led by a distinguished faculty comprising ICPC World Finalists and ex-professionals from ISRO, Microsoft, MakeMyTrip, and several other leading tech organizations, NST is building a scalable, high-impact model that produces industry-ready talent for the world’s most advanced technology roles.

About the Role: We are looking for a passionate and experienced Data Engineer + Associate Instructor to deliver engaging instruction in data visualization, machine learning, and AI concepts, with a strong emphasis on Python programming. You will guide learners in building skills to visualize, analyze, and model data, preparing them for real-world applications in data science and AI. If you’re passionate about coding, solving complex problems, and helping others grow, this role is for you!

Key Responsibilities

• Course Development & Delivery: Design, develop, and deliver comprehensive lectures and hands-on sessions for Data Visual Analytics and Database Management Systems (DBMS), covering relational models, SQL, NoSQL, normalization, database design, and performance optimization.
• Curriculum Innovation: Continuously update course content by incorporating the latest trends in database technologies, data engineering, cloud databases, and visual analytics to ensure industry relevance.
• Practical Learning & Capstone Projects: Build and guide real-world capstone projects that integrate database systems with data visualization and AI/ML applications, enabling students to solve real industry problems.
• Technical Instruction & Mentorship: Teach advanced database topics such as query optimization, database security, data warehousing, and cloud-based database platforms. Provide mentorship and troubleshooting support during labs and practical exercises.
• Assessment & Student Success: Develop assessments including quizzes, tests, and project evaluations. Offer constructive feedback and personalized mentorship to support student growth and academic excellence.
• Industry Engagement & Exposure: Share practical insights into industry-standard tools and technologies such as MySQL, PostgreSQL, MongoDB, Oracle, Tableau, and Power BI. Organize workshops, hackathons, and webinars to promote experiential learning.
• Cross-Functional Collaboration: Collaborate with instructors, departments, and curriculum designers to integrate database concepts into multidisciplinary projects and adapt teaching methods to diverse learning styles.
• Career Guidance & Professional Development: Guide students on career paths in database management, data engineering, data science, and analytics, aligning learning outcomes with industry expectations.
  
  

• Bachelor’s or Master’s degree in Computer Science, Information Technology, Data Engineering, or a related field.
• 3-7 years of professional or teaching experience in Database Systems, Data Engineering, or Data Analytics.
• Strong expertise in relational databases (MySQL, PostgreSQL, Oracle) and NoSQL systems (MongoDB, Cassandra), including concepts such as indexing, normalization, clustering, and performance tuning.
• Proficiency in SQL, PL/SQL, or T-SQL, with hands-on experience in database design and optimization.
• Experience with data visualization tools such as Tableau or Power BI.
• Familiarity with cloud database platforms, including AWS RDS, Azure SQL, and Google Cloud Spanner.
• Relevant certifications (e.g., Oracle DBA, Microsoft SQL Server, AWS Certified Database Specialist) are a plus.
• Ability to explain complex database and data engineering concepts in a clear, structured, and engaging manner.
• Comfortable teaching both theoretical foundations and hands-on, real-world database implementations.
  
  

• Be part of a mission-driven team bridging the gap between education and employability through hands-on, industry-focused learning.
• Work with ICPC world finalists, ex-Googlers, ex-ISRO scientists, and IIT/IISc mentors from Google, CRED, Swiggy, and Goldman Sachs.
• Gain real-world exposure through AI, open-source, and government-backed projects with IITs.
• Learn Full Stack Development, Data Science, and DevOps with a placement-driven curriculum, mock interviews, and 2,000+ hiring partners. Shape India’s next generation of tech leaders.
  
  

• Prior experience teaching or mentoring in universities, bootcamps, or corporate training programs.
• Familiarity with modern teaching tools and project-based learning methodologies.
• Experience in architecting large-scale systems, cloud infrastructure (AWS, Azure,GCP), or distributed computing frameworks.
• Contributions to open-source projects, technical blogs, or developer communities.
  
  

• Strong analytical and problem-solving mindset.
• Excellent communication and presentation skills.
• Passion for technology, mentorship, and continuous learning.
• Ability to bridge academic depth with real-world engineering practice.