The world’s largest and fastest-growing weather and digital media company.

Data Engineering Intern – Spring/Summer 2026

Data EngineerData EngineerInternshipRemoteTeam 501-1,000Since 1962H1B SponsorCompany Site LinkedIn

Location

Pennsylvania

Posted

102 days ago

Salary

Not specified

Bachelor DegreeEnglishApacheAzureCloudETLPythonSparkSQL

Job 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.

Job 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).