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Data Services Intern

Arine · San Francisco, CA · On-site

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About Arine

Pronunciation: a:rine [uh-reen]. Noun: Arine is a name of Basque origin meaning "light." Arine illuminates the possibilities with medication management to deliver comprehensive economic and health outcomes. Backed by MaC Venture Capital.

About the role

The Data Services Intern will report to a manager within the Data Services department . This is a hands-on opportunity to transition from academic theory to real-world application. You will assist in translating business needs into technical specifications and building data solutions that directly impact patient outcomes. You will collaborate with other engineers in a fast-paced, mission-driven environment. Found on 1752vc Careers, the job board for startup and VC roles.

What they're looking for

  • Academic Background: Currently pursuing a Bachelor’s or Master’s degree in Computer Science, Data Science, Information Technology, or a related field
  • SQL Fundamentals: Strong foundational knowledge of SQL and a desire to apply it to complex, real-world datasets
  • Engineering Interest: Exposure to (or a strong desire to learn) BI tools (e.g., Amazon QuickSight, Tableau), data processing/ETL tools (e.g., Python, Airflow) and cloud platforms (AWS)
  • Analytical Mindset: Excellent problem-solving skills and the ability to look at data through a critical lens
  • Systematic Thinking: An interest in data governance, data lineage, and designing efficient, scalable data workflows
  • Communication: Ability to explain technical concepts to non-technical audiences clearly and concisely
More about this role

The Data Services Intern will report to a manager within the Data Services department . This is a hands-on opportunity to transition from academic theory to real-world application. You will assist in translating business needs into technical specifications and building data solutions that directly impact patient outcomes. You will collaborate with other engineers in a fast-paced, mission-driven environment.

  • Data Modeling: Support the development and maintenance of data models to ensure the "single source of truth" for organizational metrics. Monitor the health of pipelines and shadow senior engineers in resolving critical incidents.
  • What you’ll learn : SQL + dbt in our Snowflake data lake; Github source control
  • Requirements Gathering: Shadow stakeholders to learn how business requirements are translated to code. Support the creation and refinement of dashboards and analytical reports to provide stakeholders and customers with insights.
  • What you’ll learn: Business requirements and ticket workflow
  • Documentation: Create and maintain technical documentation for data lineage and reporting processes.
  • What you’ll learn: How to create comprehensive documentation including...

Read the full posting on Arine's site ↗

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