Senior Data Engineer

SpaceX 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 SpaceX is actively developing the technologies to make this possible, with the ultimate goal of enabling human life on Mars.

SR. DATA ENGINEER, GROUND NETWORK ENGINEERING (BUSINESS ANALYTICS)

At SpaceX, we are leveraging our experience in building rockets and spacecraft to deploy Starlink, the world’s most advanced broadband internet system. Starlink is the world’s largest satellite constellation and is providing fast, reliable internet to millions of users worldwide. We design, build, test, and operate all parts of the system – thousands of satellites, consumer receivers that allow users to connect within minutes of unboxing, and the software that brings it all together. We’ve only begun to scratch the surface of Starlink’s potential global impact and are looking for best-in-class engineers and analysts to rapidly accelerate our growth around the globe.

As a Sr. Data Engineer for the Ground Network, you will play a critical role in building the framework that allow us to make decisions for our critical infrastructure. You will be defining and measuring infrastructure KPIs, analyzing data to extract key insights and identifying opportunities to improve spending in the ground network.

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