Data Engineering Intern – Spring/Summer 2026
AccuWeather
internship
Posted on:
Location Type: Remote
Location: Remote • Pennsylvania • 🇺🇸 United States
Visit company websiteJob Level
Entry Level
Tech Stack
ApacheAzureCloudETLPythonSparkSQL
About the role
- 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
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
PythonSQLDatabricksApache SparkETLdata transformationdata integrationautomation scriptsmetadata managementdata documentation
Soft skills
analytical skillsproblem-solving skillscommunication skillsteamwork skillseagerness to learn