Data Engineering
Posted 14 Oct 2026
Advertised as “Data Engineering Lead”
BranchFactor Summary
The original posting with the fluff stripped out
- Expected experience
- 10+ yrs
- Management level
- People management
No salary listed for this role.
Field of studyComputer Science, Data Science, Engineering (or related)
Study levelBachelor's
About RhythmX AI
RhythmX AI is a generative AI-native health company driving a paradigm shift in hyper-personalized care. RhythmX AI’s precision care platform helps physicians pioneer a new era of whole-person care through generative and predictive AI-powered copilots. An SAIGroup company, RhythmX AI leverages SAIGroup assets, including the advanced Eureka AI platform and longitudinal data related to 300 million patients, more than 4.4 billion total annual claims, and more than 1.8 million healthcare professionals at more than 300 thousand facilities. RhythmX AI comprises healthcare and technology experts, operators, and the industry’s leading clinical advisors. https://rhythmx.ai/
Job Overview
We are seeking an experienced Data Engineering Lead with a solid foundation in Python, MongoDB, PostgreSQL, Apache Airflow and other data management tools to join our innovative team. This role is critical for building and managing robust data pipelines that extract and process data from health system EHR systems, supporting our AI-driven healthcare applications.
Key Responsibilities:
- AI Infused Data Pipeline Construction: Develop and optimize data pipelines for the efficient extraction, transformation, loading and management of large-scale healthcare and clinical guidelines data.
- Healthcare Data Handling: Manage sensitive healthcare data adhering to FHIR, HL7 standards, as well as the version and variability of Epic Clarity extracts, Quality Measures, Drug Formularies and Clinical Guidelines ensuring compliance with data regulations and client needs.
- Data Orchestration: Use Airflow, Temporal or other similar AI-native next generation tools to manage complex data and knowledge workflows essential for processing healthcare data at scale. This includes RAG, GraphRAG, Tool calling, MCP and other AI enabled Data Orchestration, Search, Retrieval and Aggregation.
- Assessments and Collaboration: Support data scientists and backend developers by integrating and maintaining data systems across the organization. As well as in assessment and validation of large-scale Gen-AI based systems using tools such as RAGAs, Opik etc.
- Innovative Problem-Solving: Apply technical skills to address unique challenges in the healthcare sector, contributing to solutions that enhance patient care.
Minimum Qualifications
- Bachelor’s degree in Computer Science, Engineering, Data Science, or a related field.