Data Engineer

Role Overview

We are seeking a Backend Software Developer to support the development, validation, and governance of data pipelines and algorithmic services used in a clinical product. The role focuses on implementing robust unit testing, data archiving mechanisms, and ensuring reliable analytics delivery in collaboration with engineering, QA, and business teams.

Key Responsibilities

• Design and implement wide‑coverage unit tests across data ingestion, feature engineering, and algorithmic pipelines.
• Develop unit tests for inputs and outputs of algorithmic services, including validation of black‑box machine learning models.
• Establish and maintain test execution workflows integrated into the product release lifecycle.
• Implement mechanisms to archive and snapshot algorithm inputs and outputs to ensure historical reproducibility and auditability.
• Work closely with frontend, QA, and DevOps teams to communicate data validation and reproducibility requirements.
• Support business and analytics teams by resolving data quality, validation, and reporting issues.
• Contribute to service analytics related to data completion, user engagement, and algorithm actions.

Required Skills & Experience

• Bachelor’s degree in Computer Science, Engineering, Analytics, or related field.
• Minimum 2+ years of experience in backend development, data engineering, or analytics platforms.
• Strong proficiency in Python with hands‑on experience writing unit tests.
• Solid understanding of algorithm validation and data quality controls.
• Experience in healthcare or regulated environments is a plus.

Technical Skills

• Backend: Python, Django, FastAPI, Wagtail, Django REST Framework (DRF)
• Databases: PostgreSQL, DocumentDB, Valkey
• Cloud & Infra: AWS, Docker, OpenSearch
• Testing: Python unittest