Data Engineering Intern (Spring 2027)
About The Position
Leading the world’s sustainable energy future, At First Solar, interns play a vital role in shaping the future of sustainable energy. Opportunities are available across various departments including research and development, marketing, project development, information technology, engineering, and energy services. Interns gain hands-on, real-world experience and are challenged daily to solve meaningful problems. You’ll have the chance to explore innovative solutions, develop new skills, and contribute to impactful projects that align with our mission. First Solar fosters a culture of collaboration and innovation, encouraging team members to take smart risks, learn from setbacks, and continuously improve. Interns are expected to take ownership of their work and demonstrate accountability while working toward a cleaner energy future.
Requirements
- Currently pursuing a bachelor’s degree in Computer Science, Data Science, Data Analytics, Software Engineering, Information Systems, or a related technical field.
- Foundational experience writing Python code for data processing, automation, or application development.
- Strong understanding of SQL, including writing queries, joining tables, filtering data, and working with relational databases.
- Familiarity with Git-based version control and collaborative software-development practices.
- Strong foundational knowledge of Python and SQL.
- Ability to understand relational data structures and troubleshoot data-quality or data-integration issues.
- Ability to develop clear, maintainable, and well-documented code.
- Familiarity with Git concepts such as repositories, branches, commits, pull requests, and code reviews.
- Strong analytical and problem-solving skills.
- Ability to learn unfamiliar technologies and internal data systems.
- Effective written and verbal communication skills.
- Attention to detail when validating data, application behavior, and pipeline results.
- Commitment to responsible handling of proprietary and business-sensitive information.
- Experience with fundamental technologies in a Microsoft environment: Windows OS, Office 365, etc.
Nice To Haves
- Experience building ETL pipelines or moving data between databases, files, applications, or web-based systems is preferred.
- Experience with Streamlit, REST APIs, SharePoint data, Azure DevOps, and CI/CD pipeline creation and maintenance is preferred.
- Understanding of Docker or similar containerization applications and containerization concepts is a plus
- Experience with JMP or similar statistical analysis software is helpful but not required.
- Familiarity with automating communication channels such as email and Teams chats with application data included is preferred.
Responsibilities
- Support the development of Python-based data integration and analytics solutions including dashboard building and automating verification of processing data.
- Work primarily within a Streamlit application while also gaining exposure to REST API development, Sharepoint data interactions, JMP statistical analysis software scripting development, and other application architectures.
- Design, develop, test, and document ETL pipelines that retrieve information from SQL databases and SharePoint-based sources, transform and validate the data, apply relevant business logic checks, and make it available for consumption through internal analytics applications, software, and communication channels.
- Present accomplishments and project summary to the leadership team upon completion of the internship.
Benefits
- Flexibility to enroll in classes while working as an intern, if it doesn’t interfere with the essential functions of the position.
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What This Job Offers
Career Level
Intern
