Role Overview
We are seeking a Backend Software Developer / Data Engineer to support the development, validation, and governance of data pipelines and algorithmic services used in a clinical product. This role focuses on building robust unit testing frameworks, implementing 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 input/output validation tests for algorithmic services, including black-box machine learning model validation.
• Establish and maintain automated test execution workflows integrated into the product release lifecycle.
• Implement mechanisms to archive and snapshot algorithm inputs and outputs to support historical reproducibility and audit readiness.
• Collaborate closely with frontend, QA, and DevOps teams to communicate data validation, reproducibility, and governance requirements.
• Support business and analytics teams in resolving data quality, validation, and reporting issues.
• Contribute to service analytics, including data completeness, user engagement, and algorithm action metrics.

Requirement

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

Rupa Kankariya EA License No. 02C3423 Personnel Registration No. R1441955

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