Principal Data Engineer, Beacon Biosignals
$190-210k
+ Equity
AI brain monitoring
Be an early applicant
AI brain monitoring
101-200 employees
Be an early applicant
$190-210k
+ Equity
101-200 employees
Company mission
To improve human health by enabling rapid, targeted interventions through advanced brain analytics.
Role
Who you are
- 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!Expand commentComment on line R21Resolved
- 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
- We don't expect every candidate to check every box. If you bring strong fundamentals, care about data infrastructure for health, and are excited to learn, we’d love to hear from you!
What the job involves
- Beacon Biosignals is seeking a Principal Data Engineer to join our Datastore team
- The Datastore sits at the heart of Beacon's platform
- It defines our foundational data model and serves as the centralized repository and API for brain data collected from clinical studies, supporting the analytical tools, services, and applications used by our scientists, clinicians, and partners
- This role emphasizes the architecture and design of solutions spanning the Beacon Platform, with a focus on scalable data models to serve expanding business needs, event-driven pipelines, and engineering best practices
- . You will coach engineers and stakeholders of the Datastore on design patterns, collaborate with product and technical leads across platform and scientific teams, and help shape architectural direction and standards across Platform teams
- What success looks like:
- You 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
- You implement features that model best practices, and coach team members to develop their skills. You hold the Datastore to ever higher standards for data integrity, design soundness, and maintainability as it grows
- You draft RFCs to lead complex feature discovery and technical design phases, soliciting and incorporating input and building alignment on the decisions that guide development
Our take
The brain has long been considered one of the most mysterious fields of medicine - and psychiatric and neurological diseases therefore one of the least understood. Better access to real-time brain data, however, could change this and that’s exactly what Beacon Biosignals is hoping to deliver.
Beacon Biosignals has developed an AI-powered EEG platform designed to better measure and understand brain activity. Its technology includes a lightweight wearable headband that tracks brain signals during sleep and at home, feeding huge amounts of real-world data into machine-learning models. The aim is to help researchers analyze brain activity faster, identify new biomarkers, and improve the development of treatments for neurological and psychiatric disorders.
The company recently raised major funding and acquired home sleep testing specialist CleveMed as it expands its AI-powered brain health platform. Its FDA-cleared wearable headband is already being used in more than 40 clinical trails studying conditions like depression, Alzheimer's, Parkinson's, and sleep disorders. By collecting millions of hours of brain activity data, Beacon hopes to help researchers detect diseases earlier and better understand how the brain changes over time.
Kirsty
Company Specialist at Welcome to the Jungle
Insights
40% employee growth in 12 months
Company
Funding (last 2 of 5 rounds)
Apr 2026
$11m
SERIES B
Nov 2025
$86m
SERIES B
Total funding: $127.5m
Company HQ
Beacon Hill, Boston, MA
Leadership
Jarrett Revels
(Co-Founder & CTO)Prior to co-founding Beacon Biosignals in 2019, Jarrett spent 4 years at Massachusetts Institute of Technology, joining as a Scientific Programmer before become a Performance Engineer then Research Software Developer.
Jacob Donoghue
(Co-Founder & CEO)Jacob completed a Neuroscience PhD at Massachusetts Institute of Technology, and received his MD from Harvard Medical School. Subsequently they carried out research for Cyberkinetics Neurotechnology Systems and Massachusetts General Hospital.
Brandon Westover
(Co-Founder)Received their MD from Washington University School of Medicine, then took up a Neurology residency at Harvard Medical School. Alongside their work at Beacon Biosignals, Brandon is also an HST Faculty member at MIT and a Neurologist/Medical AI Researcher at Massachusetts General Hospital.
Syd Cash
(Co-Founder)Syd is an Associate Professor at Harvard Medical School, who also leads the Center for Neurotechnology and Neurorecovery at MGH.
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