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Principal 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.


PRINCIPAL DATA ENGINEER (STARLINK)

SpaceX is looking for a Principal Data Engineer to drive data analysis and monitoring for the Starlink network, with the goal of providing better internet access to unconnected users worldwide. You will set best practices for how to use our data to direct developer efforts, find and solve network inefficiencies, create and drive KPIs for network quality, and solve the network's biggest problems. The tools you build will allow Starlink to expand its user base, improve its user experience, and serve unconnected populations across the globe.


RESPONSIBILITIES:

  • Define and create real-time and historical dashboards, metrics, and KPIs to monitor network performance, outages, and regressions
  • Onboard other teams at Starlink to be able to create their own monitoring dashes, using a common toolset
  • Use data analytics to isolate performance bottlenecks in reliability, throughput and latency
  • Bring machine learning into our toolkit: ML models to predict failures, anomaly detection


BASIC QUALIFICATIONS:

  • Bachelor’s degree in computer science, physics, mathematics, or a STEM discipline
  • 10+ years of experience in analytics, data science, data engineering, or software engineering
  • Development experience with SQL, Python, Spark, R, or other programming languages


PREFERRED SKILLS AND EXPERIENCE:

  • Master's degree in computer science, physics, mathematics, or a STEM discipline
  • Experience working in a Linux environment, and open source tools
  • Experience working with in-stream data processing of structured and semi-structured data
  • Experience building predictive models and machine learning pipelines (clustering analysis, failure prediction, anomaly detection)
  • Experience handling large (TB+) datasets
  • Domain-specific experience a plus, but not required
  • Demonstrated ability to own projects from start to completion
  • Strong attention to detail


ITAR REQUIREMENTS:


SpaceX is an Equal Opportunity Employer; employment with SpaceX is governed on the basis of merit, competence and qualifications and will not be influenced in any manner by race, color, religion, gender, national origin/ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability or any other legally protected status.


Applicants wishing to view a copy of SpaceX’s Affirmative Action Plan for veterans and individuals with disabilities, or applicants requiring reasonable accommodation to the application/interview process should notify the Human Resources Department at (310) 363-6000.

Company

SpaceX

Location

Mountain View, CA, United StatesOnsite

Job type

Full-Time

Category

Data Engineering

Tags

Data AnalyticsEngineeringLinuxMachine Learning
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