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.

Job Qualifications

• Degree in Computer Science, Engineering, Analytics, or related field.
• Minimum 2+ years of experience in backend development, data engineering, or analytics platforms.
• Possess technical backend skills in Python, Django, FastAPI, Wagtail, Django REST Framework (DRF).
• Experience in PostgreSQL, DocumentDB, Valkey database.
• Experience in Cloud and Infra (AWS, Docker, OpenSearch) and testing (Python unit test).
• Excellent 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.
  

Carolyn Ann Santibanez Mendoza EA License No. 02C3423 Personnel Registration No. R1105160

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