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aws sql python databricks scala📋 Description
- Work on data ingestion and transformation for analytics and ML.
- Drive technical decisions to deliver high-quality results.
- Collaborate with data science, product, and engineering teams.
- Break work into sprints and tasks; manage priorities.
- Improve data pipelines' structure; participate in architecture discussions.
- Own development and release for assigned tasks and mini-projects.
🎯 Requirements
- Currently enrolled in undergrad or grad CS or related field.
- Available for 12 weeks Summer 2026 (May/June).
- Intent to return to degree program after internship.
- Proficient in Python or Scala and SQL.
- Experience with Databricks or Spark/Flink.
- Familiar with RESTful APIs and AWS (S3/Lambda).
🎁 Benefits
- Professional development budget
- Flexible in-office days (10+ per month)
- Employee giving match
- Mobile phone stipend
- Wellness reimbursement
- Generous vacation policy
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