Data-AI Engineering Intern

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Berkshire Hathaway GUARD
New York, NY, United States
  • Environmental
  • FullTime

Responsibilities

  • Assist Senior Data Engineers in building, testing, and maintaining data pipelines, analytics solutions, and AI-enabled features.
  • Support data preparation, validation, and documentation efforts across data engineering, analytics, and AI initiatives.
  • Contribute to the development and experimentation of AI Agents and foundational LLM-driven workflows (where approved and appropriate).
  • Work with structured and semi-structured data using Python and SQL to support analytics and AI use cases.
  • Participate in cloud-based data and AI platforms, gaining hands-on exposure to modern data engineering and AI engineering practices.
  • Collaborate with Engineers and Analysts to understand business requirements and translate them into technical solutions.
  • Learn through shadowing, code reviews, and pair-programming, while progressively taking ownership of well-defined tasks.
  • Document work clearly to support knowledge sharing, reproducibility, and team standards.
  • Apply a data-driven and AI-first mindset to problem solving, experimentation, and continuous improvement.

Qualifications Required Qualifications

  • Currently pursuing a degree in Computer Science, Data Science, Software Engineering, AI/ML, or a related technical program.

  • Strong foundational skills in:

  • Python

  • SQL

  • Data Engineering concepts

  • Data Analytics

  • AI Engineering fundamentals, including exposure to AI Agents or LLM-based systems

  • Familiarity with cloud-based data or AI platforms.

  • Demonstrated interest in applying AI-first thinking to real-world data and business problems.

  • Strong analytical and problem-solving skills, with a willingness to learn and experiment.

  • Ability to work effectively in a team-oriented, collaborative environment.

  • Curiosity, initiative, and a desire to learn from experienced engineers.

Nice to Have

  • Exposure to or hands-on experience with:

  • Anthropic Claude

  • Microsoft Fabric

  • Power BI

  • Academic or personal project experience involving data pipelines, analytics dashboards, or AI-driven solutions.

  • Familiarity with basic software engineering best practices (version control, documentation, testing).

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