Senior Data Integration Engineer

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.

Responsibilities

• 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.

Requirements

• 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.

Pay

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.