Top Healthtech Data Engineering Jobs

As a Senior Data Engineer, you will design and optimize data pipelines, enhance system efficiency, and collaborate with teams to drive health outcomes using large healthcare datasets.

The Senior Data Engineer develops cloud-native data pipelines, optimizes data processing frameworks, and implements AI-driven workflows for analytics and automation.

The Data Engineer will design, develop, and maintain data pipelines, support researchers through data management, and ensure compliance with governance requirements while communicating technical information clearly.

The Head of Data will establish the enterprise data strategy, oversee data engineering and analytics, and ensure high-quality, accessible data to support AI and business objectives.

As a Data Engineer at Calico, you'll develop infrastructure for research data, collaborate on projects, mentor junior engineers, and ensure data governance.

Design and drive Elanco's Databricks platform capabilities: define reference architectures, enable product teams, build scalable data pipelines, prototype integrations, automate processes, partner with stakeholders and vendors, and ensure alignment with enterprise data and AI architecture.

The Senior Data Engineer will design and maintain data pipelines, write production-grade Python and SQL code, and support AI initiatives while collaborating across teams.

The Staff Data Engineer will lead the architecture and reliability of Hinge Health's data platform, manage technical complexity across teams, set data standards, and enhance engineering practices.

The role involves building and maintaining data pipelines, ensuring data quality, and collaborating with clinical researchers to provide clean datasets for analysis.

Develop and support high performance data pipelines, optimize their performance, ensure data quality, and resolve engineering issues. Collaborate with business and IT teams.