The Role

As a Data Engineer on the Data Platform team, you’ll build and maintain the core systems that power Frontera’s platform—from provider-facing tools and our direct-to-parent mobile app to ML models, training data, and video content. You’ll design scalable data pipelines, manage the foundational data model, and ensure that our backend can support rapid experimentation while remaining robust for long-term use. You’ll work closely with engineers, clinicians, and ML scientists to deliver a platform that helps care teams work smarter and reach more children.

Responsibilities

• Design, develop, and maintain scalable backend services and APIs, ensuring high performance, security, and reliability.
• Build and optimize data pipelines to ingest, store, and serve large-scale datasets, including video and ML training data.
• Own and evolve the foundational data model that powers the entire Frontera platform.
• Balance rapid development of MVPs and POCs for user research with building robust, long-term backend foundations.
• Integrate third-party tools and services to enhance platform functionality.
• Collaborate closely with engineers, machine learning scientists, and clinicians to align platform capabilities with user needs.

Qualifications

• 4+ years of experience as a Backend Engineer, with expertise in Python, Java, or similar languages.
• Deep understanding of API development, database design (relational and NoSQL), and building scalable data pipelines and orchestration workflows.
• Experience with cloud platforms (AWS, Azure, GCP).
• Thriving in a fast-paced, dynamic environment.

Bonus Points

• Experience with AI/ML technologies and applications in healthcare.
• Familiarity with video storage, processing, and streaming technologies.