Data Engineer - Intern

About the Role

As 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 & Accountabilities

• Build and maintain ETL/ELT pipelines to collect, transform, and process data efficiently


• Write clean, maintainable, and reusable code using Python and SQL


• Work with relational and non-relational databases to store and retrieve data effectively


• Support data modeling efforts to improve reporting, analytics, and application performance


• Assist in monitoring, troubleshooting, and optimizing data workflows


• Collaborate with Data Scientists and Software Engineers to prepare datasets and support machine learning initiatives


• Use Git for version control and participate in code reviews and team discussions


• Follow engineering best practices, coding standards, testing, and documentation guidelines

Qualifications

• Strong understanding of computer science fundamentals, including data structures, algorithms, and problem-solving


• Working knowledge of Python and SQL


• Understanding of database concepts, including relational databases and basic data modeling


• Familiarity with ETL processes and data transformation concepts


• Basic understanding of software engineering principles and Object-Oriented Programming (OOP)

Nice to Have

• Exposure to big data technologies such as Apache Spark, Hadoop, or Flink


• Familiarity with cloud platforms such as AWS, GCP, or Azure


• Experience with PostgreSQL, MongoDB, Cassandra, Snowflake, or BigQuery


• Personal projects, GitHub repositories, or coursework involving data engineering or analytics


• Exposure to machine learning concepts, feature engineering, or MLOps practices

What You'll Gain

• Real production experience working on large-scale data systems


• Exposure to modern data engineering tools, architectures, and best practices


• Experience collaborating with Data Science, Engineering, and Product teams


• Mentorship from experienced engineers and guidance on technical growth


• Potential pathway to a full-time role based on performance and impact

Program Highlights

• 1-month internship program


• Fully onsite experience


• Dedicated mentor assigned throughout the internship


• Hands-on exposure to real projects and day-to-day activities


• Opportunity to learn from experienced professionals


• Certificate of completion awarded upon successful completion of the program