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Senior Integrations Engineer

๐Ÿ•’ 6 days ago
PythonTypeScriptNode.jsSQL
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๐Ÿ“œ Description

  • Design and own end-to-end data flows across partner APIs, webhooks, carriers, sensors, and vendors.
  • Develop backend services to 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.
  • Work independently as a senior individual contributor and collaborate with a small engineering team.

๐Ÿ› ๏ธ Requirements

  • At least 5 years of backend engineering experience building scalable distributed systems, including 10 or more years building production data pipelines.
  • Proficiency in Python and TypeScript or Node.js, 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.
  • Logistics, supply chain, cold-chain, shipment risk, or regulated healthcare data experience is beneficial.

โœจ Benefits

  • Base salary is $130,000 to $160,000 annually, plus equity and a cash bonus. Visa sponsorship is available.
Full job description

About the Role

Join a small engineering team at a Series A logistics technology company, building partner-facing integrations and data-heavy distributed systems for temperature-controlled and high-value shipments. Your work will help logistics teams understand shipment conditions, assess risk, and respond to exceptions.

What You'll Do

  • Design, build, and own end-to-end data flows across partner APIs, webhooks, carriers, sensors, and other vendors.

  • Develop backend services that ingest, normalize, contextualize, and process operational and IoT data.

  • Build systems that support 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.

  • Work independently as a senior individual contributor, collaborating with a small team to deliver scalable, dependable integrations.

What We're Looking For

  • 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.

  • Logistics, supply chain, cold-chain, shipment risk, or regulated healthcare data experience is beneficial.

Compensation & Benefits

Base salary is $130,000 to $160,000 annually, plus equity and a cash bonus. Visa sponsorship is available.

Location

Remote within the United States.

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