Data Engineer - Contract
Summary
Data Engineer contract role focused on developing backend software for data pipelines and algorithmic services in a clinical product, with emphasis on unit testing, data archiving, and analytics delivery. Core technologies include Python, Django, FastAPI, PostgreSQL, AWS, and Docker.
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. 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
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. 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