Sr. Data Engineer, Ground Network Engineering (Business Analytics)

RESPONSIBILITIES

• Define and develop KPIs and associated metrics that quantify the cost of every asset of the Starlink Ground Network globally including gateway sites, points of presence, data centers, construction, fiber, power, land, hardware, etc.
• Conduct deep-dive analyses of Starlink ground infrastructure data to identify trends, uncover opportunities for improving cost.
• Regularly prepare reports and presentations that summarize findings, provide actionable insights, and track the effectiveness of implemented strategies.
• Build and maintain forecasting engines to predict cost of the Starlink Ground Network.
• Support cost analysis for launch of future markets.
• Refactor and scale data ingestion and delivery of cost systems for geographic expansion.
• Maintain and enhance the integrity and reliability of internal and external data sources. Collaborate with internal and external stakeholders including engineering, and external processors to capture additional data and to ensure data accuracy and consistency.
• Collaborate closely with software engineering and other cross functional teams.
• Architect backend services, APIs, and workflows to integrate planning, forecasting, deployments, and cost.
• BASIC QUALIFICATIONS
• Bachelor’s degree in engineering, computer science, or related field
• 5+ years of professional experience in reporting and analytics in network infrastructure.
• 3+ years of experience with 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