Data Engineering Intern(Spring/Summer 2026)

The Data Engineering Intern supports AccuWeather’s data engineering team in developing and automating systems that enhance data accessibility, reliability, and documentation. This role helps drive innovation across AccuWeather’s data infrastructure by contributing to automation initiatives, improving data discoverability, and exploring AI-driven solutions. Working under the guidance of experienced data engineers, the intern will gain hands-on experience with Databricks, Spark, Azure, and modern data engineering practices that directly support AccuWeather’s business and operational goals.

• →Support the development and maintenance of data pipelines using Databricks, Spark, and similar technologies.
• →Write and optimize SQL and Python scripts for data transformation, integration, and automation tasks.
• →Develop automation scripts that populate metadata and comments across Databricks tables using structured definitions (e.g., CSV files).
• →Assist in building a proof-of-concept (POC) for an automated data dictionary that can be maintained using existing Databricks metadata.
• →Contribute to prototyping an AI-powered knowledge agent that leverages internal data and documentation to answer common questions.
• →Collaborate with team members to enhance data quality, cataloging, and metadata management across the ecosystem.
• →Participate in code reviews, design discussions, and sprint ceremonies to learn engineering best practices.
• →Document findings, workflows, and automation processes for future reuse.
• →Perform other duties as assigned.

• Actively pursuing a Bachelor’s or Master’s degree in Computer Science, Software Engineering, Information Systems, or a related technical field.
• Foundational knowledge of Python and SQL for data manipulation and analysis.
• Familiarity with ETL concepts and structured data formats such as CSV, JSON, and Parquet.
• Interest in cloud-based data platforms (Azure preferred) and modern data engineering tools.
• Strong analytical and problem-solving skills with an eagerness to learn.
• Effective communication and teamwork skills.

• Exposure to Databricks, Apache Spark, or other distributed data frameworks.
• Familiarity with Git or version control practices.
• Interest in AI/LLM-based automation, data documentation, or metadata management.
• Prior project or internship experience in data engineering or cloud technologies.

• Technical: Python, SQL, data pipeline development, metadata automation, and cloud data environments.
• Soft Skills: Curiosity, attention to detail, adaptability, clear communication, and collaboration in an agile setting.

AccuWeather is proud to be an Equal Opportunity/Affirmative Action Employer. We are committed to equal employment opportunity to all applicants and existing employees and we evaluate qualified applicants without regard to race, creed, color, national origin, sex (including pregnancy and gender identity/expression), sexual orientation, age, ancestry, physical or mental disability, marital status, political affiliation, religion, citizenship status, genetic information, veteran status, or any other basis protected under applicable federal, state, or local law.
 
AccuWeather is committed to working with and providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the employment process, please send an e-mail to human.resources@accuweather.com and let us know the nature of your request and your contact information.