Data Engineer, Particle Health

• 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

Desirable

• 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
• 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