Company Overview

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, EHRs, and condition-specific platforms.

About the Role

At Particle Health, data is at the core of everything we do. As a Healthcare Data Architect / Senior Data Engineer, you’ll play a pivotal role in organizing and optimizing our data assets to meet the evolving needs of our customers and the healthcare landscape. With access to diverse datasets like EHR, prescription fills, and provider data, you’ll tackle some of the most complex and impactful challenges in healthcare data today.

We’re specifically looking for senior-level professionals with hands-on experience working with healthcare data—especially EHR formats like CCDA, FHIR, and HL7v2.

This role is about more than technical expertise—it’s about curiosity and collaboration. You’ll explore the depths of patient-level data to uncover opportunities and solve problems, asking critical questions that guide us toward delivering transformative insights. From identifying treatment adherence patterns to predicting gaps in care and developing risk scores, your work will have a direct impact on our customers' ability to improve patient outcomes.

Your contributions will shape the foundational components of Particle’s data platform and analytics strategy, driving innovation and quality across our products. You’ll also work closely with cross-functional teams to ensure our data capabilities align with business goals, helping us achieve our mission of making healthcare smarter and more patient-focused.

Location & Work Schedule

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

What You’ll Do

As a Healthcare Data Architect / Sr Data Engineer your role will have three core focus areas:

Data Engineering (75%)

• Build and optimize efficient, scalable data pipelines for ingestion, transformation, and enrichment, powering Particle Health’s Platform.

• Monitor, troubleshoot data issues, and ensure data availability, reliability, and scalability for the SaaS product.

• Work with Product and Engineering leadership to develop product features and analyses that enhance our understanding of the data and its applications.

• Implement data standards, policies, procedures, and best practices for data management, data quality, data security, and data privacy, ensuring compliance with internal and external regulations and standards.

• Help design and evolve Particle’s data infrastructure to reduce toil, improve operational efficiency, and reduce processing cost.

Data Quality & Architecture (25%)

• Lead the design and development of a robust data architecture that guides data modeling, ingestion, processing, and data quality enabling data product development at Particle Health.

• Design and develop conceptual, logical, and physical data models ensuring they meet the needs of our platform and customers and account for the data domains, structures, relationships, quality, security, and data privacy of the product.

• Help address gaps in our data, identifying solutions, and improving reliability to establish a competitive edge and firmly cementing our data quality as a key differentiator of our platform.

Collaborate Across Teams

• Work cross-functionally with Data Engineering, Data Science, Product, and Engineering teams to align on architectural needs and enable the development of new features and analyses.

• Partner with leadership to translate business requirements into scalable data solutions that provide insight and impact.

What We Seek

This is a senior-level, hybrid role based in NYC. Candidates must have prior experience working with healthcare datasets and be comfortable collaborating in person 2x/week.

• Extensive experience and domain expertise with healthcare data (especially EHR - CCDA, FHIR and/or Claims data, ADTs), including clinical applications and/or risk stratification.

• Advanced technical skills, especially with Python, SQL, and Spark—these are core to our data stack and day-to-day engineering work.

• Proven proficiency in building and optimizing data-intensive systems and pipelines.

• Deep curiosity and critical thinking to explore and break down complex data sets to isolate key outcomes.

• Effective communication skills to convey complex technical concepts to both technical and non-technical stakeholders.

• Analytical thinking and interest in using metrics to improve decision-making and influence behavior.

• Comfort with ambiguity.

• A lifelong learner who has the demonstrated ability to pick up new skills quickly.

What You Bring to the Table

• 8+ years of experience in data engineering with a strong background in data architecture and data modeling.

• 5+ years of experience in data architecture, data modeling, data governance, and data analytics, preferably for SaaS products or cloud-based applications.

• 5+ years of experience with healthcare data & formats (e.g., CCDA, FHIR, HL7v2, Claims, ADTs, Tuva Schema, OMOP).

• Strong knowledge and skills in data modeling tools and languages and in designing data models for SaaS products or cloud-based applications.

• Deep expertise in Python, with a deep understanding and hands-on experience in Spark for designing, optimizing, and scaling large-scale data processing pipelines, and proficiency in at least one SQL dialect.

• Experience with data lake technologies (e.g., Databricks, Delta Lake), data storage formats (Parquet, Avro), query engines (such as Photon, Spark SQL), and both real-time streaming and batch processing, or equivalent technologies and frameworks.

• Bonus if you’ve worked with healthcare analytics products or platforms, or contributed to clinical decision-making tools, risk models, or care gap identification.

Why Particle Health?

• Purposeful Work: Contribute to projects that directly improve healthcare access, empower providers, and enhance patient outcomes.
• Collaborative Culture: Thrive in a mission-driven, curiosity-fueled environment where ownership and bold ideas are celebrated.
• Flexibility & Balance: Enjoy unlimited PTO and a hybrid work schedule, giving you a mix of energizing, in-person collaboration, and remote work time. We also provide free lunch on Tuesdays and Thursdays when our team is in office!
• Bonus Program: Get rewarded for great work—our twice-a-year bonus program reflects both your contributions and our overall success.
• Comprehensive Benefits:
• ~ 95% employer-paid health benefits for you and generous coverage for your family.
• Employer-funded 401(k) contribution to help you build a secure future.
• Mental health benefits to support your well-being.
• Invest in Your Future: Receive employee equity, ensuring you share in the company’s success.
• Family Support: Access 14 weeks of fully paid parental leave, so you can focus on what matters most.

At Particle Health, your contributions don’t just impact the company—they shape the future of healthcare. Join us, and let’s make a difference together!