Senior Data Integration Engineer

ABOUT THE ROLE Join a small engineering team at a growth-stage logistics software company focused on shipment visibility and risk management for temperature-sensitive goods. You will own the integrations that turn data from devices, carriers, and customer systems into reliable information teams can act on. WHAT YOU'LL DO - Build and operate ingestion pipelines for device telemetry, carrier milestones, and customer order data using APIs, webhooks, polling, files, and queues. - Map and normalize source data into shared shipment and telemetry models, with validation and quality checks throughout the pipeline. - Monitor pipeline health, build alerts and dashboards, and handle replays or backfills when data is late or incorrect. - Use partner API specifications and sample data to deliver new integrations. - Turn one-off integrations into reusable, configuration-driven pipelines. WHAT WE'RE LOOKING FOR - At least 5 years of experience building production data pipelines or backend data systems, with ownership of external integrations from ingestion through monitoring and support. - Strong Python skills and familiarity with TypeScript or Node.js, 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, including rate limits, retries, and pagination, as well as operating cloud services on Azure or AWS. - Hands-on experience with testing, CI/CD, monitoring, and observability for production systems. - Experience with IoT, telemetry, logistics, regulated data, event-driven systems, or data processing tools such as Spark is a plus. COMPENSATION & BENEFITS Base salary is $140,000 to $180,000 annually, with equity and a cash bonus. Visa sponsorship is available. LOCATION Remote within the United States.