The ideal candidate has a strong foundation in programming and data concepts, enjoys solving technical challenges, and is eager to learn about modern data engineering technologies and best practices.
This internship offers an opportunity to work on meaningful projects, gain exposure to real-world data systems, and develop technical skills in a collaborative, fast-paced environment.
What you'll be doing
Assist in designing, developing, and maintaining data pipelines and infrastructure that support analytics, business intelligence, and machine learning applications
Support the development of ETL/ELT processes to collect, transform, and organize data from various sources
Write and optimize SQL queries and Python scripts to support data processing, reporting, and analysis
Collaborate with data engineers, software engineers, and analytics teams to improve data accessibility, quality, and reliability
Help build and maintain data tools and dashboards that provide actionable insights into business and product performance
Gain hands-on experience with cloud-based data infrastructure, data warehouses, and modern data processing technologies
Assist in troubleshooting data pipeline issues, identifying performance improvements, and implementing solutions with guidance from senior engineers
Participate in code reviews, technical discussions, and team meetings while learning engineering best practices
- Document data processes, workflows, and technical solutions to support ongoing development and knowledge sharing
- We'll be excited if you have
- Currently pursuing a Bachelor's or Master's degree in Computer Science, Data Science, Software Engineering, Information Systems, or a related technical field
Foundational knowledge of Python and SQL, including experience writing queries, manipulating data, or developing scripts through coursework, projects, or internships
Basic understanding of databases, data structures, and data processing concepts
Familiarity with ETL/ELT processes, data pipelines, or data warehousing concepts
Interest in learning modern AI and data technologies such as Claude, Snowflake, BigQuery, Apache Spark, Flink, or Apache Airflow
Strong analytical and problem-solving skills, with attention to detail and a willingness to learn
Good communication and collaboration skills, with the ability to work effectively in a team environment
A proactive attitude, intellectual curiosity, and enthusiasm for working with data and emerging technologies
Previous technical projects, relevant coursework, or internship experience in data engineering, software development, or analytics is a plus, but not required
