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# Data Engineer, Ground Network Engineering (Gateway)

- **Company:** Space Exploration Technologies Corp.
- **Location:** Redmond, WA, United States
- **Salary:** $125,000.0
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), C Sharp (Programming Language), C++ (Programming Language), Information Engineering, Data Visualization, Django Web Framework, Electronic Data Interchange (EDI), Networking Hardware, Inventory Management Software, Python (Programming Language), Power BI, Software Requirements Analysis, Software Systems, SQL Databases, Warehouse Management Systems, Data Ingestion, Grafana, Backend, Fastapi, AngularJS, Kubernetes, Information Technology, Performance Monitor, Tools for Reporting, Celery, Code Restructuring, Data Pipelines
- **Published:** October 26, 2026
- **Apply:** https://www.adzuna.com/details/5881946033

## About the Role

* Bachelor's degree in engineering, computer science, or related field
 * Experience in Python or SQL

PREFERRED SKILLS AND EXPERIENCE

 * Experience with inventory systems, logistics workflows, and/or supply chain tooling
 * Proficient in C#, C++, or Angular
 * Basic understanding of Kubernetes concepts, including pods, services, deployments, and namespaces
 * Prior success in delivering strong data visualizations using tools such as PowerBI, Grafana, Metabase or other real-time metrics systems
 * Experience building backend services using APIs (Celery, FastAPI, Django, or similar frameworks) and system-to-system data exchange in logistics and supply chain environments
 * Proven track record developing custom forecasting tools and planning logic
 * Knowledge of MRP/ERP, WMS, or other supply chain systems
 * Strong problem-solving skills and comfort working in ambiguous environments with evolving requirements
 * Excellent communication and cross-functional program management skills

ADDITIONAL REQUIREMENTS

 * Must be able to work extended hours or weekends to meet deployment deadlines
 * Must be available to travel up to 25% to support site launches, FSL integrations, or incident response

## Description

This hybrid role sits at the intersection of data engineering, supply chain, and infrastructure operations to support the global deployment and critical operational reliability of Starlink's ground network. As we continue to scale, the Data Engineer will own the software systems, data pipelines, forecasting models, and logistics execution needed to make deploying and maintaining Starlink infrastructure around the world fast, predictable, and reliable.This is not just a data role or an operations role, this is the person who will help us build a smarter, more automated, and more resilient global infrastructure system through software and data., * 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