Data Engineer - Intern

About the RoleAs a Data Engineering Intern, you will work alongside experienced engineers to build, optimize, and maintain data systems that power critical business decisions. This is a hands-on, mentorship-driven role designed to help you develop practical skills in data engineering, software development, and modern data platforms.We care more about your curiosity, problem-solving ability, and willingness to learn than the number of technologies you already know. If you enjoy working with data, building scalable systems, and exploring how data can drive real-world impact, this role is for you.Principal Responsibilities & AccountabilitiesBuild and maintain ETL/ELT pipelines to collect, transform, and process data efficientlyWrite clean, maintainable, and reusable code using Python and SQLWork with relational and non-relational databases to store and retrieve data effectivelySupport data modeling efforts to improve reporting, analytics, and application performanceAssist in monitoring, troubleshooting, and optimizing data workflowsCollaborate with Data Scientists and Software Engineers to prepare datasets and support machine learning initiativesUse Git for version control and participate in code reviews and team discussionsFollow engineering best practices, coding standards, testing, and documentation guidelinesQualificationsStrong understanding of computer science fundamentals, including data structures, algorithms, and problem-solvingWorking knowledge of Python and SQLUnderstanding of database concepts, including relational databases and basic data modelingFamiliarity with ETL processes and data transformation conceptsBasic understanding of software engineering principles and Object-Oriented Programming (OOP)Nice to HaveExposure to big data technologies such as Apache Spark, Hadoop, or FlinkFamiliarity with cloud platforms such as AWS, GCP, or AzureExperience with PostgreSQL, MongoDB, Cassandra, Snowflake, or BigQueryPersonal projects, GitHub repositories, or coursework involving data engineering or analyticsExposure to machine learning concepts, feature engineering, or MLOps practicesWhat You'll GainReal production experience working on large-scale data systemsExposure to modern data engineering tools, architectures, and best practicesExperience collaborating with Data Science, Engineering, and Product teamsMentorship from experienced engineers and guidance on technical growthPotential pathway to a full-time role based on performance and impactProgram Highlights1-month internship programFully onsite experienceDedicated mentor assigned throughout the internshipHands-on exposure to real projects and day-to-day activitiesOpportunity to learn from experienced professionalsCertificate of completion awarded upon successful completion of the program