Description

The Data Operations Engineer Intern supports the Data Operations team in maintaining, improving, and optimizing data workflows and automation processes. This role contributes to the team's efforts to ensure data timeliness, data availability, system reliability, and continuous process enhancement across AccuWeather’s data platforms. This internship provides hands-on experience in data operations, scripting, monitoring, and process automation within a professional IT environment. Working under the guidance of experienced Data Operations Engineers, the intern will assist in developing scripts, monitoring data workflows, and supporting the maintenance of key data systems that power AccuWeather’s digital platforms and services.

This role is ideal for a student or recent graduate seeking to build foundational experience in data operations, automation, and systems operations while contributing to meaningful projects.

This internship is for spring/summer 2026 and can be remote or based out of AccuWeather's Headquarters in State College, PA. 

Requirements

KEY RESPONSIBILITIES

• Assist in developing and maintaining basic automation scripts using Python, PowerShell, or Bash to support data collection and system monitoring.
• Support the maintenance and documentation of data pipelines, ensuring smooth and reliable operation.
• Collaborate with the Data Operations team to design, build, and refine monitoring tools that track system performance and help proactively identify issues under supervision.
• Help test and deploy small-scale automation or monitoring tools.
• Write and maintain unit tests for new and existing automation and data processes to ensure reliability and performance.
• Contribute to internal documentation and process improvement efforts.
• Participate in team meetings, training sessions, and project updates to gain exposure to industry best practices.
   

QUALIFICATIONS

• Current student pursuing a degree in Computer Science, Information Technology, Data Science, or a related field.
• Foundational knowledge of scripting languages such as Python, Bash, or PowerShell.
• Basic understanding of data processing or database management concepts (SQL familiarity preferred).
• Strong problem-solving and analytical thinking skills.
• Excellent attention to detail and eagerness to learn new technologies.
• Effective written and verbal communication skills.
• Ability to work collaboratively in a team-oriented environment.
   

Preferred Qualifications 

• Familiarity with cloud platforms such as AWS, Azure, or Google Cloud Platform (GCP).
• Exposure to version control systems (e.g., Git).
• Interest in weather technology, data analytics, or large-scale systems operations.
   

Skills & Competencies 

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