Senior Data Engineer architecting cloud data platforms and pipelines for Arc’teryx supply chain analytics. Leading migrations, governance, observability, and engineering mentorship.
About the role
- Software Engineering Intern developing and optimizing cloud-based workflows and applications. Gaining hands-on experience in software engineering and analytics with a focus on modern technologies.
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.
Requirements
- 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.
Benefits
- Exposure to real-world production systems
- Mentorship opportunities
- Hands-on experience at the intersection of software engineering, data analytics, and emerging AI frameworks
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