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.

Skills
Python, JavaScript, TypeScript, Node.js, AWS, Azure, CI/CD

Experience
5+ yrs

Employment type
FullTime

Work arrangement
No