Senior Data Integration Engineer (Remote - US only)
Visa sponsorship available. A small engineering team at a growth-stage logistics software company that provides shipment visibility and risk monitoring for temperature-sensitive goods is hiring a senior engineer to own external data integrations. You will turn information from sensors, carriers and customer systems into reliable, usable data for operations teams. The role combines hands-on pipeline building with ongoing monitoring and support.
What you'll do
- Build and run ingestion pipelines for device telemetry, carrier shipment milestones and customer order data using APIs, webhooks, polling, file drops and message queues.
- Map and normalize incoming data into shared shipment and telemetry models, with validation and quality checks at each stage.
- Monitor pipeline health, set up alerts and dashboards, and manage replays or backfills when data arrives late or incorrect.
- Deliver new integrations based on partner API specifications and sample data.
- Convert one-off integrations into reusable, configuration-driven pipelines.
What you need
- At least 5 years of experience building production data pipelines or backend data systems, including owning external integrations from ingestion through monitoring and support.
- Strong Python skills; familiarity with TypeScript or Node.js is a plus, or the ability to ramp up quickly.
- Proficiency with SQL, data modeling, batch and incremental ETL/ELT, schema mapping and data quality practices.
- Experience integrating external APIs (rate limits, retries, pagination) and operating cloud services on Azure or AWS.
- Hands-on experience with testing, CI/CD, monitoring and observability for production systems.
- Must be located in the United States. Experience with IoT, telemetry, logistics, regulated data, event-driven systems or Spark is a plus.
Applicants must be based in: United States.
How to apply
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