Remote Data Engineer Intern — Shape Pipelines & AI

Jackalope Digital LLC

San Francisco, Northern (CA, KY)

Hybrid

USD 57,000 - 81,000

Full time

3 days ago
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Job summary

Coinbase is seeking a Data Engineer Intern for a 12-week summer program in San Francisco. You will partner with analytics engineers to build data pipelines powering insights and machine learning initiatives.

You'll learn from senior engineers, apply Python for data processing, work with cloud platforms, and contribute to scalable data infrastructure while ensuring data quality and governance. This internship emphasizes collaboration and hands-on learning in a fast-paced environment.

Qualifications

  • Currently enrolled or completed coursework in Computer Science or Data Engineering with demonstrated Python proficiency.
  • Experience writing SQL for data analysis and relational databases.
  • Familiarity with cloud platforms (AWS, GCP, or Azure) and interest in AI/LLMs or API integrations.
  • Exposure to software architecture concepts such as microservices or distributed systems.
  • Commitment to responsible use of generative AI with human oversight.

Responsibilities

  • Build and maintain data pipelines ensuring data integrity and accessibility for analytics and ML workloads.
  • Support development of scalable data infrastructure using Python and cloud-based technologies.
  • Integrate and manage data from multiple sources, including internal systems and external APIs.
  • Contribute to analytical deep dives with senior team members and document findings with recommendations.
  • Apply data engineering best practices including governance, security, and performance optimization.

Skills

Python
SQL
Cloud platforms
Data pipelines
APIs

Education

CS/Data Eng coursework

Job description

Coinbase is seeking a Data Engineer Intern for a 12-week summer program in San Francisco. You will partner with analytics engineers to build data pipelines powering insights and machine learning initiatives.

You'll learn from senior engineers, apply Python for data processing, work with cloud platforms, and contribute to scalable data infrastructure while ensuring data quality and governance. This internship emphasizes collaboration and hands-on learning in a fast-paced environment.

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