Data Engineer
About The Position
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.
Requirements
- 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 Haves
- 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.
Responsibilities
- 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.
Benefits
- 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.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
Number of Employees
11-50 employees
