Software Engineering Intern, Data Engineer

This is a full time, remote Summer Internship that can be based anywhere in the United States or Canada. We are looking for a Software Engineering Intern to join our Products organization for the Summer. In this role, you will be part of a unique and award-winning internship program within the company. The program provides the opportunity to learn new skills through training and on the job learning. The duration of the program is expected to be 90 days. The intern will join the software engineering and analytics team to design, develop, and optimize cloud based workflows and data processing applications. The role involves working with technologies such as Python, AWS, and Elasticsearch to create reliable and scalable solutions that support analytics and system monitoring. Success in this position means writing clean, efficient code, learning modern engineering practices, and collaborating closely with experienced team members. This internship offers exposure to real-world production systems, mentorship opportunities, and hands-on experience at the intersection of software engineering, data analytics, and emerging AI frameworks. Responsibilities and Duties:  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. ​ 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. Preferred: Knowledge of the Elasticsearch Stack (Elasticsearch, Kibana, Beats, Logstash) or equivalent. Preferred: Exposure to agentic or autonomous system development and machine learning workflows. Knowledge of timeseries data or network telemetry data is a plus. Able to work for the complete summer break (May - August or June - September). #LI-Remote The base pay range for this position varies based on the geographic location. More information about the pay range specific to candidate location and other factors will be shared during the recruitment process. Individual pay is determined based on location of residence and multiple factors, including job-related knowledge, skills and experience. San Francisco Bay Area: 27.60 - 34.50 USD Hourly All Other US Locations: 24.00 - 30.00 USD Hourly For information on our benefits click here.