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Data Engineering Intern Atlanta, GAData Platform /Intern /Hybrid APPLY FOR THIS JOB Greenlight is the leading family fintech company on a mission to help parents raise financially smart kids. We proudly serve more than 6 million parents and kids with our award-winning banking app for families. With Greenlight, parents can automate allowance, manage chores, set flexible spend controls, and invest for their family’s future. Kids and teens learn to earn, save, spend wisely, and invest. At Greenlight, we believe every child should have the opportunity to become financially healthy and happy. It’s no small task, and that’s why we leap out of bed every morning to come to work. Because creating a better, brighter future for the next generation depends on it. Greenlight's internship is a paid program for current college students. Throughout the internship, you’ll collaborate on thoughtful projects and bring your fresh perspectives to impact our product and families. We encourage you to make your mark here as you grow as a professional, broaden your network, learn new skills and live the Greenlight mission — to empower families to build financial strength, protect what matters most, and stay deeply connected—so they can thrive together in every stage of life. We are seeking a motivated and curious Data Engineering Intern to join our Data Platform team. This internship offers a unique opportunity to gain hands-on experience building and maintaining real data infrastructure within a fast-growing fintech environment. The ideal candidate will work alongside our data engineers to support the development of pipelines, data models, and infrastructure tooling — while learning industry best practices across the full data stack. What you will be doing: 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 What you should bring: 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 Familiarity with Python for scripting, data processing, or automation (preferred) Basic understanding of cloud platforms, particularly AWS, is a plus 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 Learning Opportunities: You'll have the opportunity to gain experience with technologies including: Snowflake dbt (data build tool) Apache Airflow AWS (S3, Lambda, EC2, IAM) Databricks Terraform Fivetran Segment This internship provides an excellent foundation for a career in data engineering, analytics engineering, or data architecture within the fintech industry. Who we are: It takes a special team to aim for a never-been-done-before mission like ours. We’ ... (truncated, view full listing at source)