Data Engineer | Contract

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, establishing data archiving mechanisms, and ensuring reliable analytics delivery in collaboration with engineering, QA, and business teams.

Key Responsibilities

• Design and implement comprehensive 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.
• Collaborate 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 a related field.
• Minimum of 2 years' experience in backend development, data engineering, or analytics platforms.
• Experience in Python, Django, FastAPI, Wagtail, Django REST Framework (DRF), PostgreSQL, DocumentDB, Valkey, AWS, Docker, OpenSearch, Python unittest
• 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.

Cristina Malabuyoc Malijan EA License No. 02C3423 Personnel Registration No. R1111547

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