Data Engineer, Ground Network Engineering (Gateway)

United States Digital Space LLC; Redmond (WA); Hybrid; USD 120,000 - 180,000; Full time

Job summary

Starlink is seeking a Data Engineer for Ground Network Engineering (Gateway) in a hybrid role in Redmond, WA. This 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.

The Data Engineer will own software systems, data pipelines, forecasting models, and logistics execution to make deploying and maintaining Starlink infrastructure around the world fast,

Qualifications

• Bachelor’s degree in engineering, computer science, or related field.
• Experience in Python or SQL.

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

Education

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

Job description

the company was founded under the belief that a future where humanity is out exploring the stars is fundamentally more exciting than one where we are not. Today the company is actively developing the technologies to make this possible, with the ultimate goal ofenabling human life on Mars.

DATA ENGINEER, GROUND NETWORK ENGINEERING (GATEWAY)

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.

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

BASIC QUALIFICATIONS

• Bachelor’s degree in engineering, computer science, or related field
• Experience in Python or SQL