Senior Data Engineer, Beacon Biosignals
$150-170k
+ equity
AI brain monitoring
Be an early applicant
AI brain monitoring
101-200 employees
Be an early applicant
$150-170k
+ equity
101-200 employees
Company mission
To improve human health by enabling rapid, targeted interventions through advanced brain analytics.
Role
Who you are
- 5+ years of backend development experience, including at least 2 years focused on data engineering, data platforms, or infrastructure for data-centric applications
- Strong proficiency in SQL, with production experience working with PostgreSQL
- Hands-on experience with data streaming and event processing, using tools such as Kafka, RabbitMQ, Pulsar, or a cloud-based equivalent like Amazon Kinesis
- Proficiency in a data-oriented programming language such as Julia, Python, or R
- Experience with Julia is a strong plus, but not required - we welcome candidates eager to learn it!
- Experience deploying and operating services in containerized environments, with familiarity in Kubernetes and Infrastructure as Code (IaC) tools such as Terraform and/or Helm
- Experience in TypeScript/JavaScript (Node.js) is a plus, especially for API integration work
- 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
- A self-directed approach, with a track record of thriving in hybrid or fully remote teams
- 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 Senior 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 design and scaling of backend systems for data infrastructure, such as event-driven pipelines, data modeling, and APIs that enable scientific and clinical data use - distinct from frontend development or end-user application logic
- You will lead the design and integration of new services and components for data and event processing, contribute to scaling the Datastore’s core infrastructure, and collaborate with platform and application teams to implement APIs that unlock new workflows in Beacon’s expanding portfolio of clinical studies and digital health products
- You partner with product managers, internal stakeholders, and other development and support teams to design new integrations, services, and solutions for scaling Beacon's data platform
- You implement features with attention to detail, demonstrating product awareness and high standards for data integrity, design soundness, and maintainability across the lifespan of the system
- You draft RFCs to lead complex feature discovery and technical design phases, soliciting and incorporating input, and helping your team align on a set of decisions to guide development
- You leverage feedback from internal stakeholders and external partners to improve operational robustness and ease of use of the Datastore and its services via new documentation, tools, and dashboards
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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