22 hours ago
Base Salary
$130k - $160k/yr
Responsibilities
- Design, build, and own end-to-end data flows across partner APIs, webhooks, carriers, sensors, and vendors.
- Develop backend services that ingest, normalize, contextualize, and process operational and IoT data.
- Build systems for real-time shipment risk analysis, on-time and in-full prediction, and automated exception workflows.
- Maintain reliable data pipelines through warehousing, monitoring, observability, and on-call support.
- Collaborate independently as a senior individual contributor on scalable and dependable integrations.
Requirements
- At least 5 years of backend engineering experience building scalable distributed systems, including 10 or more years building production data pipelines.
- Hands-on proficiency in Python and TypeScript or Node.js, plus SQL and relational data modeling.
- Experience with external partner integrations, multi-vendor ingestion, config-driven transformations, and production data flows.
- Knowledge of IoT data ingestion and contextualization, event-driven architecture, and messaging systems such as Kafka or RabbitMQ.
- Experience with REST or gRPC APIs, Docker, Kubernetes, and a cloud platform such as AWS, GCP, or Azure.
- Strong software engineering practices including testing, CI/CD, monitoring, and observability.
- Experience in logistics, supply chain, cold-chain, shipment risk, or regulated healthcare data is beneficial.
Benefits
- Base salary plus equity and a cash bonus.
- Visa sponsorship is available.
- Remote within the United States.
Tech Stack
Categories
BackendData Engineering