About the Role
Beacon Biosignals is seeking a Senior Data Engineer to join our Datastore team. The Datastore sits at the heart of Beacon's platform, defining our foundational data model and serving as the centralized repository and API for brain data collected from clinical studies. This role supports the analytical tools, services, and applications used by our scientists, clinicians, and partners.
This position emphasizes the design and scaling of backend systems for data infrastructure, such as event-driven pipelines, data modeling, and APIs. 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.
What Success Looks Like
- 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.
What You Will Bring
- 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 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 and excellent written and verbal communication skills for asynchronous and remote-friendly environments.
- A self-directed approach with a track record of thriving in hybrid or fully remote teams.