POSITION OVERVIEW

The Foundry Data Engineer plays a critical role in developing, maintaining, and optimizing data integration and analytics solutions using Palantir Foundry. This position supports internal customers by building scalable data pipelines, transforming data, and delivering advanced analytics to enhance healthcare operations, business operations, and financial reporting. By leveraging advanced data processing techniques, the engineer will contribute to the development of analytics that drive improvements in patient care and operational efficiency. Ultimately, the role is pivotal in transforming raw data into actionable insights that enhance the overall quality of health services provided.

REQUIRED QUALIFICATIONS

• Strong experience developing in Palantir Foundry, including Pipeline Builder and Foundry’s data integration ecosystem.
• Proficiency in Python and SQL for data manipulation, automation, and analytics.
• Experience with data modeling, ontology mapping, and data visualization within Foundry.
• Hands-on experience managing Agile software development projects.
• Bachelor’s degree in Computer Science, Data Engineering, or a related field.
• Familiarity with DevOps best practices and cloud-based data infrastructure.
• Strong analytical, problem-solving, and strategic thinking skills.
• Excellent communication skills, with the ability to collaborate across technical and non-technical internal teams.

PREFERRED QUALIFICATIONS

• Experience working with healthcare analytics, EHR systems, and financial reporting.
• Knowledge of revenue cycle management (RCM), claims processing, and operational reporting.
• Background in computer science, data science, data engineering, or healthcare analytics.
• Experience leading data engineering teams or mentoring junior engineers.

SKILLS:

The required skills in SQL and data warehousing are essential for building and managing the databases that store health care data. Proficiency in cloud platforms allows the engineer to deploy scalable solutions that can handle large volumes of data efficiently. Collaboration skills are vital for working with cross-functional teams, ensuring that data solutions meet the needs of various stakeholders. Familiarity with data governance practices is crucial for maintaining compliance and protecting sensitive information. Preferred skills in data visualization enhance the engineer’s ability to present data insights effectively, contributing to informed decision-making