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Beacon Biosignals

Beacon Biosignals - Principal Data Engineer

Remote - USA$190k - $210k+ Equity2d ago
RemotePrincipalNAArtificial IntelligenceData EngineerPrincipalKafkaPulsarAmazon KinesisSQLPostgreSQLTypeScriptJuliaKubernetesTerraformHelm

Responsibilities

• 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! • The salary range for this role is $190,000 – $210,000. Salary ranges are determined using current market compensation data for this role and adjusted based on experience, skills, and location.The base salary is one component of the total compensation package, which includes equity, PTO, and other benefits. • At Beacon, we've found that cultural and scientific impact is driven most by those that lead by example. As such, we're always seeking new contributors whose work demonstrates an avid curiosity, a bias towards simplicity, an eye for composability, a self-service mindset, and - most of all - a deep empathy towards colleagues, stakeholders, users, and patients. We believe a diverse team builds more robust systems and achieves higher impact.

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