Data Engineer Intern gaining hands - on experience in TD's big data platform. Collaborating on software development and system enhancements while learning about analytical tools and technologies.
About the role
- Building and operating data services and pipelines for a healthcare AI platform. Developing systems for large-scale healthcare data to ensure high performance and compliance.
Responsibilities
- Build and operate services and pipelines that move data through Phare’s AI and product stack
- Develop reliable systems for ingesting, transforming, and serving large-scale healthcare data
- Own backend interfaces that power analytics and model workloads
- Work across streaming, storage, and application layers to keep data flowing safely and efficiently
Requirements
- At least 5 years of engineering experience with at least 2 years on production data pipelines/platforms
- Experienced in architecting and building microservices and ETL pipelines in Python, Go, or Java
- Experienced building and managing infrastructure with Terraform, Docker, and Kubernetes
- Strong with Spark, Airflow, or Kafka for orchestrating and streaming data flows
- Adept at implementing observability and reliability practices
- Bonus: Experience with healthcare data (FHIR, HL7)
Benefits
- Competitive benefits package
- Eligible for annual bonus plan at a target of 30%
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