This is a fully remote position, open to applicants in United States.

📋 Description

• Collaborate with product managers, scientific and clinical stakeholders, internal teams, and development and support groups to convert requirements into integrations, services, and solutions that scale Beacon's data platform.

• Implement features with a focus on data integrity, sound design, and maintainability.

• Create RFCs to guide complex feature discovery and the technical design process.

• Ensure data accuracy during transfers between systems, including completeness, idempotency, and predictable behavior in the event of partial failures.

• Enhance the operational robustness and user-friendliness of the Datastore and its services through comprehensive documentation, tools, and dashboards.

• Design and scale backend systems utilizing PostgreSQL data models, Kafka-driven event pipelines, and a GraphQL API.

• Lead the design and integration of new services and components for data and event processing.

• Manage pipelines that deliver dataset snapshots into the data warehouse.

• Work alongside platform and application teams to implement APIs that support clinical study and digital health workflows.

⛳️ Requirements

• A minimum of 5 years of backend development experience, with at least 2 years dedicated to data platforms and backend infrastructure for data-driven applications.

• Strong expertise in SQL.

• Hands-on experience with PostgreSQL as an application database.

• Familiarity with data streaming and event processing using Kafka or a similar technology such as RabbitMQ, Pulsar, or Amazon Kinesis.

• Proficiency in Julia or Python.

• Experience in deploying and managing services within containerized environments.

• Knowledge of Kubernetes and Infrastructure as Code tools such as Terraform and/or Helm.

• Experience with GraphQL and TypeScript/JavaScript (Node.js).

• A collaborative mindset.

• Exceptional written and verbal communication skills.

• A self-directed approach with a proven ability to excel in hybrid or fully remote teams.