Data Engineering Intern – Spring/Summer 2026

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Yesterday

🔔 Pennsylvania – Remote

Although this job is listed in Pennsylvania, this company may be open to hiring remote in other states.

👨‍🎓 Internship

⚪️ Entry-level

🚰 Data Engineer

🦅 H1B Visa Sponsor

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AccuWeather

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Media • Enterprise • Telecommunications

AccuWeather is a global leader in weather forecasting services, providing highly accurate weather information and forecasts for various locations worldwide. The company offers a range of products and services including digital advertising, APIs, mobile apps, and subscription services like AccuWeather Premium and AccuWeather Professional. It features weather news, radar and maps, and specialized forecasts, such as hurricane tracking and severe weather alerts. Through its innovative RealFeel® and RealFeel Shade™ technologies, AccuWeather delivers personalized weather insights, enhancing safety and convenience for businesses and individuals alike. The company's mission is to deliver superior accuracy in weather reporting and forecasts.

501 - 1000 employees

Founded 1962

📱 Media

🏢 Enterprise

📡 Telecommunications

📋 Description

• 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.

🎯 Requirements

• 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 (preferred). • Familiarity with Git or version control practices (preferred). • Interest in AI/LLM-based automation, data documentation, or metadata management (preferred). • Prior project or internship experience in data engineering or cloud technologies (preferred).

🏖️ Benefits

• Health insurance • Retirement plans • Flexible work arrangements • Professional development opportunities