Data Engineer – Ground Network & Logistics Automation

SpaceX; Union Hill-Novelty Hill (WA); Hybrid; USD 125,000 - 200,000; Full time

Benefits offered by this job

Stock options

Long-term incentives

Employee Stock Purchase Plan

Medical, vision, and dental coverage

401(k) retirement plan

Paid time off: 3 weeks vacation + 10+?

Job summary

SpaceX is seeking a Data Engineer for the Ground Network Engineering team in a hybrid role. You will own data pipelines, forecasting models, and logistics workflows that support Starlink infrastructure deployment and reliability.

The role combines data engineering with inventory and infrastructure operations, enabling smarter automation and resilient global systems. Travel and extended hours may be required.

Qualifications

• Bachelor's degree in engineering, computer science, or related field.
• Experience in Python or SQL.
• Experience with inventory systems, logistics workflows, and/or supply chain tooling.
• Proficiency in backend services using APIs (Celery, FastAPI, Django).
• Knowledge of MRP/ERP, WMS, or other supply chain systems.

Responsibilities

• Own end-to-end workflow deployment and optimization of Starlink Ground Network processes.
• Develop and automate systems to optimize antenna, optical hardware, and critical spare part flow through inventory and logistics accounting for inventory stock levels, telemetry data, and predictive failure models.
• Build and maintain forecasting engines to predict hardware demand from deployment planning, team and program targets.
• Architect backend services, APIs, and workflows to integrate planning, logistics, and inventory systems (Warpdrive ERP/MRP, 3rd party logistics service provider's APIs).
• Automate supply chain processes, including inventory syncs, order creation, kitting, shipment validation, and spares replenishment.
• Refactor and scale data ingestion and delivery systems to handle increased deployment volume and geographic expansion.
• Create tools and dashboards to track real-time metrics on shipments, inventory, deployment timelines, and reliability.
• Identify and resolve inefficiencies in material flow and logistics, developing standardized processes and key performance indicators.
• Develop and monitor performance metrics for build, deployment, and ongoing maintenance/reliability of the Ground Network hardware fleet (antennas, network/optical devices)
• Collaborate with cross-functional teams to translate engineering needs into system requirements and drive adoption.
• Support emergency deployments and incident response by managing critical operational and data workflows.

Skills

Python

SQL

Analytical thinking

Cross-functional collaboration

Education

Bachelor's degree in engineering, computer science, or related field

Tools

PowerBI

Grafana

Metabase

Celery

FastAPI

Django

Warpdrive ERP/MRP integration

Job description

SpaceX is seeking a Data Engineer for the Ground Network Engineering team in a hybrid role. You will own data pipelines, forecasting models, and logistics workflows that support Starlink infrastructure deployment and reliability.

The role combines data engineering with inventory and infrastructure operations, enabling smarter automation and resilient global systems. Travel and extended hours may be required.