Data Engineer

About Particle

Particle Health is revolutionizing healthcare data analytics and interoperability. Our mission is to unlock the power of medical records in an intelligent platform that focuses health back on the patient.

Through our modern data platform, we enable healthcare innovators—ranging from value‑based care providers and payers to digital health companies and health systems—to access standardized, real‑time patient data. By bridging fragmented data silos, Particle empowers organizations to tackle critical use cases such as care coordination, risk stratification, patient identity management, and regulatory compliance with ease and precision.

Our solutions of Snapshot, Signal, Navigator, and Workbench address the complex challenges of healthcare data analytics and interoperability, helping our customers transform data into actionable insights, improve patient outcomes, and streamline workflows.

At Particle Health, our mission is to unlock the power of medical records in an intelligent platform that focuses healthcare back on the patient. We do that through connecting our customers to national and state medical record exchanges, which facilitates medical record sharing and interoperability. That also gives us access to arguably some of the best fully longitudinal data on millions of patients.

Our energy is then spent organizing and processing that data, making that data useful in different settings. Powered by this data, we are building a data platform offering important clinical insights to our customers. Our customers are Healthcare AI companies building solutions, digital healthcare providers, payers, EHR, & condition‑specific platforms.

At Particle Health, data is at the core of everything we do. As a Data Engineer, you’ll play a key role in building and optimizing the data systems that power our products and enable better healthcare outcomes.

You’ll work with rich and diverse datasets—including EHR, prescription, and healthcare provider data—to design and maintain pipelines that help make healthcare data more accessible and actionable. This role is a great opportunity for someone who’s excited to grow their technical skills, contribute to a mission‑driven team, and make a real impact on patients’ lives through data and analytics.

You’ll collaborate closely with senior engineers, product managers, and data scientists to support our evolving data infrastructure, improve quality and reliability, and enable analytics that help customers deliver better patient care.

This is a hybrid role based in New York City. The team works in‑office two days per week (Tuesdays and Thursdays), so applicants should be within commuting distance and comfortable with in‑person collaboration.

• Build, maintain, and optimize scalable data pipelines for ingestion, transformation, and enrichment.
• Build sophisticated data and analytics products.
• Support data quality, monitoring, and reliability across multiple healthcare datasets.
• Collaborate with product and engineering teams to design features that improve patient care.
• Help improve and evolve our data infrastructure to reduce manual work and improve efficiency.

• Partner closely with data scientists, product managers, and software engineers to understand data needs and deliver reliable solutions.
• Participate in code reviews, design discussions, and cross‑functional projects.
• Continuously learn and grow within a supportive engineering culture that values curiosity and collaboration.

• 3+ years of experience in data engineering or a related role.
• Strong skills in Python and SQL. Experience with Spark or other distributed data processing frameworks.
• Experience building or maintaining data pipelines, ideally using modern data tools (e.g., Airflow, Prefect, dbt).
• Curiosity and problem‑solving mindset—you enjoy exploring complex datasets and finding ways to improve them.
• Strong communication skills and comfort working with both technical and non‑technical stakeholders.
• A proactive learner who enjoys tackling new challenges and growing in a…