Staff Software Engineer, Data Platform

Beacon Biosignals

. Lead design and architecture for complex projects and systems within the Datastore .

Posted 9/15/2026full-timeRemote • United StatesLead💰 $170,000 - $190,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in backend development, data platform architecture, and API design, with a strong focus on PostgreSQL, Kafka, and scalable data solutions. Proven ability to mentor engineers and enhance team practices while ensuring high standards for data integrity and maintainability.

Highest-signal resume keywords

Backend DevelopmentData Platform ArchitecturePostgreSQL Database EngineeringAPI DesignKafka Event Processing

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

SQLData ModelingDistributed SystemsGraphQLTypeScriptJavaScriptPythonJuliaContainerizationInfrastructure as Code

Soft Skills

Excellent CommunicationMentoringCollaborationSelf-DirectedProblem Solving

Tools & Technologies

KubernetesTerraformHelmRabbitMQPulsarAmazon Kinesis

Industry Keywords

Data-Centric ApplicationsDigital Health WorkflowsClinical StudiesOperational RobustnessTechnical Design

Tech Stack

Tools & technologies

Distributed SystemsGraphQLJavaScriptKafkaKubernetesNode.jsPostgresPulsarPythonRabbitMQSQLTerraformTypeScript

About the role

Key responsibilities & impact

Lead design and architecture for complex projects and systems within the Datastore
Translate product, scientific, clinical, development, and support requirements into integrations, services, and scalable data-platform solutions
Make broader product and technical decisions for Beacon's data platform
Debug and profile ambiguous problems across system boundaries and improve code structure, test coverage, and tooling
Implement features with high standards for data integrity, design soundness, and maintainability
Draft RFCs and lead complex feature discovery and technical design phases
Plan individual and team work, balancing speed, generalizability, and technical debt
Teach and mentor engineers, provide actionable feedback, and potentially serve as project tech lead
Improve Datastore operational robustness and usability through documentation, tools, and dashboards
Own pipelines delivering dataset snapshots into the data warehouse
Collaborate across platform, application, scientific, and clinical teams to implement APIs and support clinical-study and digital-health workflows
Design and scale PostgreSQL data models, Kafka-driven event pipelines, and GraphQL APIs

Requirements

What you’ll need

7+ years of backend development experience
At least 3 years focused on data platforms and backend infrastructure for data-centric applications
Highly proficient in at least one of: data modeling, distributed systems, API design, or database engineering
Strong proficiency in SQL
Production experience with PostgreSQL as an application database
Hands-on experience with data streaming and event processing using Kafka, RabbitMQ, Pulsar, Amazon Kinesis, or equivalent
Proficiency in Julia or Python
Experience with GraphQL and TypeScript/JavaScript (Node.js)
Experience deploying and operating services in containerized environments
Familiarity with Kubernetes and Infrastructure as Code tools such as Terraform and/or Helm
Track record of mentoring engineers and improving team practices, tooling, test coverage, or documentation
Excellent written and verbal communication skills
Self-directed approach and experience thriving in hybrid or fully remote teams
Experience with or interest in LLM-assisted or agentic coding tools in production settings
Collaborative mindset

Benefits

Comp & perks

Equity
PTO
Remote work from anywhere in the U.S.
Asynchronous work practices
In-person office hubs in Boston, New York City, and Paris