2 days ago
Base Salary
$140k - $180k/yr
Responsibilities
- Build and operate ingestion pipelines for device telemetry, carrier milestones, and customer order data.
- Map and normalize source data into shared shipment and telemetry models with validation and data quality checks.
- Monitor pipeline health, create alerts and dashboards, and handle replays and backfills.
- Deliver new external integrations using partner API specifications and sample data.
- Convert one-off integrations into reusable, configuration-driven pipelines.
- Support production systems through testing, monitoring, observability, and operational ownership.
Requirements
- At least 5 years of experience building production data pipelines or backend data systems, including 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.
- Experience 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 Spark is preferred.
Benefits
- Base salary includes equity and a cash bonus.
- Visa sponsorship is available.
- Remote within the United States.
Categories
Data Engineering