Data Engineering Intern at Greenlight in Atlanta, GA

Summary: Greenlight Financial Technology is a leading family fintech company on a mission to help parents raise financially smart kids. They are seeking a motivated Data Engineering Intern to gain hands-on experience building and maintaining data infrastructure while collaborating with data engineers and supporting the development of data pipelines and models. Responsibilities: - Assist in building and maintaining data pipelines using Airflow to orchestrate workflows that ingest, transform, and deliver data into Snowflake and Databricks - Support the design and implementation of data models in Snowflake that serve analytics, reporting, and ML use cases - Help develop and maintain transformation logic using dbt, including writing models, tests, and documentation - Contribute to data quality checks and validation processes to ensure accuracy, completeness, and timeliness of data - Assist with infrastructure automation using Terraform to manage cloud resources in AWS - Participate in troubleshooting data pipeline issues and investigating root causes alongside senior engineers - Collaborate with data analysts, analytics engineers, and business stakeholders to understand requirements and contribute to technical solutions - Help create and maintain documentation for data pipelines, data models, and infrastructure processes - Participate in code reviews to develop best practices and learn from the team Required Qualifications: - A 3.0 GPA or higher - Currently pursuing a Bachelor's or Master's degree in Computer Science, Data Science, Information Technology, or a related field - Basic understanding of SQL and comfort manipulating data - Interest in data engineering, data infrastructure, and/or analytics engineering - Strong analytical thinking and problem-solving skills — especially comfort working through ambiguity - Good communication and collaboration skills; able to work cross-functionally with technical and non-technical teammates - Eagerness to take ownership of your work and ask thoughtful questions Preferred Qualifications: - Familiarity with Python for scripting, data processing, or automation - Basic understanding of cloud platforms, particularly AWS, is a plus Required Skills: SQL, Python, Data pipelines, Apache Airflow, Snowflake, Databricks, dbt, Terraform, AWS, Analytical thinking