Principal Data Engineer

Role Overview

Join Beacon Biosignals as a Principal Data Engineer to shape the architecture and design of scalable data models and event-driven pipelines at the core of the platform.

Key Responsibilities

• Collaborate with engineering and product leaders to guide architecture and solutions for the Beacon Datastore.
• Implement and uphold best practices for data integrity, design soundness, and maintainability.
• Coach engineers and collaborate across disciplines; help teams develop their skills.
• Draft RFCs to lead complex feature discovery and technical design phases, incorporating feedback and building alignment.
• Influence and establish architectural standards across platform teams.

Requirements

• 10+ years of backend development experience, with significant experience in data engineering, data platforms, and infrastructure for data-centric applications.
• SQL proficiency with production experience using PostgreSQL.
• Experience deploying and operating services in containerized environments with Kubernetes.
• Familiarity with Infrastructure as Code (IaC) tools such as Terraform and/or Helm.
• Strong experience with data streaming and event processing, using tools such as Kafka, RabbitMQ, Pulsar, or cloud equivalents (e.g., Amazon Kinesis).
• Excellent written and verbal communication, especially in asynchronous/remote settings.
• Interest in or experience with LLM-assisted/agentic coding tools in production with appropriate guardrails.
• Strong collaboration mindset and ability to work cross-functionally.

Nice to Have

• Familiarity with the Datastore’s specific stack (SQL/TypeScript/Julia)—not required, but learning quickly is expected.

Location / Work Model

• Full remote (Boston, US).