AI and Data Engineer, Hospital Patient Monitoring

Cambridge (US)

Full-time

Onsite

$126K/yr - $201K/yr

Entry, Mid Level

Philips is a health technology company dedicated to improving healthcare access for everyone. They are seeking an AI and Data Engineer to develop data strategies, perform complex data analysis, ensure data integrity, and design scalable data pipelines for their Hospital Patient Monitoring Business Operations team.

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Responsibilities

Develop and execute data strategies that align with evolving business needs, ensuring coordination across cross-functional teams for feasibility and impact.
Perform complex data analysis and queries using advanced techniques to deliver actionable insights that drive informed decision-making.
Translate raw data into meaningful trends and recommendations for stakeholders.
Ensure data integrity and compliance by implementing rigorous validation processes and monitoring quality standards.
Maintain transparency through documentation and readiness for regulatory audits.
Design and optimize scalable data pipelines to support Post Market Analytics and other strategic initiatives.
Apply best practices for data ingestion, transformation, and storage to manage large datasets efficiently.
Build robust infrastructure for big data integration across diverse sources, enabling seamless extraction, transformation, and loading processes.
Leverage cutting-edge technologies to enhance interoperability and system performance.

Qualification

Required

2+ years of experience in areas such as Data Analytics, AI, Data Engineering or equivalent.
Experience working with these platforms highly preferred: AWS, Azure, OpenAI, DataBricks, Snowflake, and Copilot.
Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
Ability to successfully perform the following minimum Physical, Cognitive and Environmental job requirements with or without accommodation.
Excellent problem-solving skills and the ability to adapt strategies to evolving business needs.