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InternFull-timePythonAWSTerraformMachine LearningData ScienceCI/CDGitAPI
Salary Range
$19,890 - $26,910 /year
This salary is estimated based on similar roles. The actual salary may vary.
About the Role
We are looking for a Software Engineer Intern to join Ripple's central Data Engineering team. This role involves working on data ingestion and transformation for analytics, machine learning, and various business functions at Ripple.
Key Responsibilities
- →Highly efficient in shipping solutions to both large and small projects
- →Owns the development and release for assigned tasks, proof of concept and new mini projects
- →Writes clean tech specs and identifies risks before implementation
- →Recognizes trade-offs and identifies impact/risks between alternative solutions
- →Improves code structure and participates in architecture discussions in data pipelines
- →Able to break down work into sprints and tasks
Requirements
- ✓Currently enrolled in an Undergraduate or Graduate degree preferably in a Computer Science or related field
- ✓Available to work for 12 weeks during Summer 2026, beginning in May or June
- ✓Intent to return to degree-program after the completion of the internship
- ✓Experience in at least one programming language (e.g. Python, Scala) and comfortable working with SQL
- ✓Experienced in at least one Data Warehouse or data lake platforms such as Databricks
- ✓Ability to write sophisticated code and comfortable with picking up new technologies independently
- ✓Familiar with developing distributed systems with experience in scalable data pipelines
- ✓Familiar with data technologies like Spark or Flink and comfortable in engineering data pipelines using these technologies on financial datasets
- ✓Experience with RESTful APIs and server-side APIs integration
- ✓Highly or conceptually familiar with AWS cloud resources (S3, Lambda, API Gateway, Kinesis, Athena, etc.)
- ✓Experience in orchestrating CI/CD pipelines using GitLab, Helm, and Terraform
- ✓Appreciate the importance of excellent documentation and data debugging skills
- ✓Excited about operating independently, demonstrating perfection, and learning new technologies and framework
