Software Engineering Intern, Data Engineer at Calix in Remote

Summary: Calix is seeking a Software Engineering Intern to join their Products organization for the Summer. The intern will work with the software engineering and analytics team to design, develop, and optimize cloud-based workflows and data processing applications, gaining exposure to real-world production systems and mentorship opportunities. Responsibilities: - Develop and maintain Python-based applications and automation workflows - Build and enhance software pipelines that collect, process, and organize data from multiple sources - Support and deploy solutions using cloud services such as AWS Lambda, InfluxDB, or equivalent GCP tools - Analyze structured and unstructured data, including timeseries and network telemetry data, to identify key patterns - Contribute to creating and maintaining analytics components using Elasticsearch and Kibana or equivalent - Collaborate with engineers using Git, CI/CD workflows - Document technical processes, write reusable code, and implement best practices for system reliability - Explore new technologies such as agentic AI frameworks (e.g., LangGraph) and LLM-based automation solutions Required Qualifications: - Currently enrolled in a college degree program in Computer Science, Computer Engineering, Software Engineering, or a related field - Proficiency in Python for backend development, scripting, or automation - Understanding of data pipeline and integration concepts — collecting, transforming, and preparing data for analytics - Exposure to AWS cloud services (Lambda, InfluxDB) or corresponding GCP components - Familiarity with version control systems such as Git - Experience with analytics or data‑driven projects through coursework, internships, or research - Strong foundation in data structures, algorithms, and API design - Excellent problem-solving skills, attention to detail, and ability to work collaboratively - Able to work for the complete summer break (May - August or June - September) Preferred Qualifications: - Knowledge of the Elasticsearch Stack (Elasticsearch, Kibana, Beats, Logstash) or equivalent - Exposure to agentic or autonomous system development and machine learning workflows - Knowledge of timeseries data or network telemetry data is a plus Required Skills: Python, AWS, Data pipeline concepts Important Skills: Elasticsearch, Git, Data structures Nice-to-Have Skills: Machine learning workflows