Senior Data Engineer (Medtech)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Senior Data Engineer (Python/SQL/Julia): Building and scaling the foundational data model and centralized repository for brain data collected from clinical studies with an accent on event-driven pipelines, data modeling, and APIs. Focus on designing high-performance backend systems to unlock scientific workflows and ensuring data integrity for precision medicine applications.
Location: Fully remote working anywhere in the US
Salary: $150,000 – $170,000
Company
is a leading at-home EEG platform revolutionizing precision medicine for brain-related neurological, psychiatric, and sleep disorders.
What you will do
- Design and scale backend systems for data infrastructure, including event-driven pipelines and APIs.
- Lead the design and integration of new services for data and event processing.
- Collaborate with product managers and stakeholders to design integrations for scaling the data platform.
- Draft RFCs to guide complex feature discovery and technical design phases.
- Improve operational robustness via new documentation, tools, and dashboards based on stakeholder feedback.
Requirements
- 5+ years of backend development experience.
- 2+ years focused on data engineering, data platforms, or data-centric infrastructure.
- Strong proficiency in SQL and production experience with PostgreSQL.
- Hands-on experience with data streaming tools such as Kafka, RabbitMQ, Pulsar, or Amazon Kinesis.
- Proficiency in Julia, Python, or R.
- Experience with Kubernetes and IaC tools like Terraform or Helm.
- Must be based in the United States.
Nice to have
- Experience with Julia.
- Proficiency in TypeScript/JavaScript (Node.js) for API integration work.
Culture & Benefits
- Robust asynchronous work practices for a first-class remote experience.
- Comprehensive compensation package including equity and PTO.
- Access to in-person office hubs in Boston, New York, and Paris.
- A culture driven by curiosity, simplicity, and deep empathy towards colleagues and patients.
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