Sr. Data Engineer (Starlink)

Mountain View, CA or Redmond, WA

Full Time Senior-level / Expert
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SpaceX

SpaceX designs, manufactures and launches advanced rockets and spacecraft. The company was founded in 2002 to revolutionize space technology, with the ultimate goal of enabling people to live on other planets.

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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 (STARLINK)

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

BASIC QUALIFICATIONS:

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

PREFERRED SKILLS AND EXPERIENCE:

  • 5+ years professional experience building predictive models and machine learning pipelines (clustering analysis, failure prediction, anomaly detection)
  • 5+ years professional experience in custom ETL design, implementation and maintenance
  • Professional experience with schema design and dimensional data modeling
  • Professional experience working in a Linux environment, and open source tools
  • Professional experience working with in-stream data processing of structured and semi-structured data
  • 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:

  • To conform to U.S. Government space technology export regulations, including the International Traffic in Arms Regulations (ITAR) you must be a U.S. citizen, lawful permanent resident of the U.S., protected individual as defined by 8 U.S.C. 1324b(a)(3), or eligible to obtain the required authorizations from the U.S. Department of State. Learn more about the ITAR here.  

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.

Job perks/benefits: Startup environment
Job region(s): North America
Job stats:  2  0  0
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