Principal Data Engineer

Beacon Biosignals

Principal Data Engineer at Beacon Biosignals designing scalable data models for brain data. Collaborating with engineering leads to influence architectural standards across the platform teams.

Posted 7/31/2026full-timeRemote • Massachusetts • 🇺🇸 United StatesLead💰 $190,000 - $210,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates extensive backend development experience with a focus on data engineering and data platforms, alongside strong proficiency in SQL and data streaming technologies. Capable of guiding architectural standards and fostering collaboration across teams while maintaining high data integrity and design soundness.

Highest-signal resume keywords

Backend Development ExperienceSQL ProficiencyData Streaming and Event ProcessingContainerization and KubernetesCollaboration and Communication Skills

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

Backend DevelopmentSQLPostgreSQLData EngineeringData PlatformsData StreamingEvent ProcessingInfrastructure as CodeKubernetesContainerization

Soft Skills

Collaboration MindsetExcellent Communication Skills

Tools & Technologies

KafkaRabbitMQPulsarAmazon KinesisTerraformHelm

Industry Keywords

Data IntegrityArchitectural StandardsTechnical DesignFeature Discovery

Tech Stack

Tools & technologies

CloudKafkaKubernetesPostgresPulsarRabbitMQSQLTerraformTypeScript

About the role

Key responsibilities & impact

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
Implement features that model best practices, and coach team members to develop their skills
Hold the Datastore to ever higher standards for data integrity, design soundness, and maintainability as it grows
Draft RFCs to lead complex feature discovery and technical design phases, soliciting and incorporating input and building alignment on the decisions that guide development

Requirements

What you’ll need

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!
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.

Benefits

Comp & perks

equity
PTO
other benefits