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Data Engineer
Data EngineerParticle Health • New York, New York, United States
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Data Engineer

Data Engineer

Particle Health • New York, New York, United States
[job_card.variable_days_ago]
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  • [job_card.full_time]
[job_card.job_description]

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.

Company Overview

About the Role

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 to 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.

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 should be within commuting distance and comfortable with in-person collaboration.

What You’ll Do

Data Engineering (Primary Focus)

  • 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.

Collaboration & Impact

  • 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.
  • What We’re Looking For

  • 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 fast-moving environment.
  • Nice to Have

  • Experience working with healthcare data (such as EHR, FHIR, HL7, or claims data) — or a strong interest in learning healthcare data systems.
  • Experience working with data lake or warehouse technologies (e.g., Iceberg, Delta Lake, BigQuery).
  • Exposure to data modeling concepts and performance optimization.
  • Familiarity with healthcare standards such as CCDA, FHIR, or HL7v2.
  • Previous experience in a SaaS or cloud-based data environment.
  • 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 fully remote or hybrid work environment (for those in the NYC area), giving you the flexibility to work in an environment that's right for you.
  • Comprehensive Benefits :
  • 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!

    Compensation Range : For this role, we’re targeting a salary range of $130,000–$160,000 annually, depending on experience and qualifications. If your background aligns more closely with a higher or lower level than the scope outlined here, compensation may vary accordingly.

    #LI-Hybrid

    At Particle Health, we believe diversity is a strength that drives and fuels our mission to transform healthcare. We are proud to be an equal opportunity employer and are committed to creating an inclusive, supportive environment where everyone can thrive. We welcome and celebrate individuals of all backgrounds, perspectives, and experiences, regardless of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability. Our commitment to diversity reflects our core values—integrity, curiosity, boldness, ownership, and persistence—and our belief that our differences make us stronger as a team and a company.

    Data Privacy Notice for Employees and Candidates

    For more info about Particle and our team, check out the resources & links included.

    https : / / www.particlehealth.com /

    https : / / builtin.com / awards / new-york-city / 2024 / best-startup-places-to-work#particle-health

    Notice : Recruitment Scam Alert

    We’ve been made aware of attempts by scammers impersonating Particle Health or our team members to post fake job listings, conduct fraudulent interviews, or issue fake offer letters. These scams may involve :

  • Requests for personal or financial information
  • Interviews conducted only via text or messaging apps
  • Emails that don’t come from an @ particlehealth.com  address
  • Offers for jobs you didn’t apply for
  • Please note :

  • We will never ask for money, gift cards, or personal financial details at any stage of our hiring process
  • All legitimate communication will come from an official @ particlehealth.com  email address
  • Our hiring process always includes video interviews — never just text
  • If you’re unsure about the legitimacy of a communication, don’t hesitate to contact us at  hiring@particlehealth.com . We’re here to help.

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