Skip to content
Beacon BiosignalsBeacon BiosignalsBoston, MA

Software Engineer III

Software Engineer on the Datastore team building and scaling backend data infrastructure, event-driven pipelines, data models, and APIs for brain EEG data to support scientific and clinical analytics. Requires 5+ years backend experience with strong data engineering focus.

150k – 170k
Remote5+ YOEData Engineering

About the role

Responsibilities

  • 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.
  • 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.
  • 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.
  • 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.
  • Lead the design and integration of new services and components for data and event processing.
  • Contribute to scaling the Datastore’s core infrastructure.
  • 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.

Requirements

  • 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.
  • 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.

Nice-to-Haves

  • Experience with Julia (strong plus).
  • Experience in TypeScript/JavaScript (Node.js), especially for API integration work.

Skills

SQLPostgresKafkaRabbitMQPulsarAmazon KinesisJuliaPythonRKubernetesTerraformHelmTypeScriptJavaScriptNode.js

Similar roles

Data Engineering jobs
Distyl AI

Research Engineer, Data

Distyl AISan Francisco, CA +1

Research Engineers at Distyl build data systems and pipelines that power reliable compound AI workflows in enterprise environments. They create data quality frameworks, synthetic data strategies, and evaluation tools while partnering with researchers and customers to turn raw data into production AI value.

150k – 250k
HybridData Engineering
Confido Legal

Analytics Engineer

Confido LegalNew York, NY

Build and maintain Confido's centralized data warehouse and analytics infrastructure. Design scalable data models, establish data standards, and enable self-service analytics across the organization.

150k – 190k
On-siteData Engineering
Sardine

Data Engineer - Data & Analytics

SardineUnited States

Data Engineer building and owning Sardine's internal data platform and warehouse. Integrates GTM, product, finance, and operational data sources via ETL pipelines; owns billing infrastructure, security, and KPIs to drive executive and revenue decisions. Requires 5+ years in data engineering/analytics with Python, SQL, modern data stack (BigQuery/dbt), and tools like Salesforce/HubSpot.

150k – 205k
Remote5+ YOEData Engineering
Mochi Health

Data Manager

Mochi HealthSan Francisco, CA

Mochi Health is seeking a Data Manager to lead their Data team, driving execution across analytics, data engineering, and operational data work. This role requires strong technical depth in SQL and Python, with a focus on data quality, reliability, and compliance.

150k – 220k
On-site4+ YOEData Engineering
Joyful Health

Data Engineer

Joyful HealthNew York, NY

Build scalable data pipelines and integrations for an AI-powered financial operating system in healthcare. Requires 5+ years data engineering experience with Python, distributed systems, AI pipelines, and big data technologies; NYC-based hybrid role.

150k – 275k
Hybrid5+ YOEData Engineering