As a Data Engineering Intern, you'll collaborate on thoughtful projects and bring your fresh perspectives to impact our product and families. You'll assist in building and maintaining data pipelines using Airflow to orchestrate workflows that ingest, transform, and deliver data into Snowflake and Databricks.

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

Requirements:

• 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.

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