Principal Data Engineer

🕒 il y a 6 jours

🍂 Massachusetts – Distant

🍂 Massachusetts – Remote

💵 $190 000 - $210 000 / an

⏰ Temps Plein

🔴 Expert

🚰 Ingénieur Data

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Beacon Biosignals

Site WebLinkedInTous les Emplois

11 - 50 employés

🏥 Santé

💼 Conseil

📦 Logistique

Healthcare • Consulting • Logistics

Beacon Biosignals est une entreprise dédiée à la médecine de précision pour le cerveau. Leur plateforme de neurobiomarqueurs EEG est conçue pour accélérer les essais cliniques et permettre de nouveaux traitements pour les patients atteints de maladies neurologiques et psychiatriques. La plateforme capture en temps réel une riche palette d'activités cérébrales et utilise l'apprentissage automatique pour analyser les données EEG afin d'évaluer l'efficacité des traitements, la sélection des dosages et la stratification des populations. Beacon Biosignals collabore avec des entreprises biopharmaceutiques, des centres médicaux universitaires et des développeurs de neurotechnologies pour améliorer le diagnostic et le traitement des maladies neurologiques et psychiatriques.

Description

• Partner with engineering and product leaders and Datastore stakeholders to guide architecture and solutions for the Beacon Datastore, and influence architectural standards across Platform teams • Implement features that model best practices, and coach team members to develop their skills • Hold the Datastore to ever higher standards for data integrity, design soundness, and maintainability as it grows • Draft RFCs to lead complex feature discovery and technical design phases, soliciting and incorporating input and building alignment on the decisions that guide development

🎯 Exigences

• 10+ years of backend development experience, including significant experience focused on data engineering, data platforms, and infrastructure for data-centric applications • Strong proficiency in SQL, with production experience working with PostgreSQL • Proficiency with data streaming and event processing, using tools such as Kafka, RabbitMQ, Pulsar, or a cloud-based equivalent like Amazon Kinesis • Strong proficiency in a modern general-purpose language; proficiency in the Datastore's specific stack (SQL/TypeScript/Julia) is not required, but you should be able and excited to learn quickly! • Experience with, or interest in, using LLM-assisted or agentic coding tools in a production setting, with good judgment about what guardrails are needed • Experience deploying and operating services in containerized environments, with familiarity in Kubernetes and Infrastructure as Code (IaC) tools such as Terraform and/or Helm • A collaborative mindset - you enjoy working across disciplines and believe people achieve more together than alone • Excellent written and verbal communication skills, especially in asynchronous and remote-friendly environments.

🏖️ Avantages

• equity • PTO • other benefits