Data Engineer (Starlink Mobile)

SpaceX is hiring a Data Engineer for Starlink Mobile to develop the strategy, metrics, tools, software services, and processes used to assess program growth and network effectiveness. The role builds data systems and analytics capabilities and works with internal teams and external partners to identify and investigate application-level issues.

Responsibilities

• Build and maintain mission-critical infrastructure, tools, processes, and custom software to objectively assess growth areas for the Starlink Mobile program
• Automate the aggregation of metrics and detection of widespread application issues across Starlink Mobile
• Establish and maintain relationships with key third-party application/content owners
• Lead technical investigations about chronic application-level issues
• Build ground-based software systems that ingest, transform, and store data
• Apply data analytics, models, and techniques to data products created by space vehicles
• Create catalogs of data and tools that can be used by you and other teams to perform analytics
• Fuse data from multiple sources to create usable information

Preferred

• Experience handling large (TB+) datasets
• Experience using SQL
• Development experience in an object-oriented programming language (i.e. C, C++, Python)
• Experience building solutions with Parquet, or similar storage formats
• Knowledge of Kubernetes
• Experience building solutions with in-stream data processing of structured and semi-structured data
• Experience building predictive models and machine learning pipelines (clustering analysis, prediction, anomaly detection)
• Experience in custom ETL design, implementation, and maintenance
• Experience with developing and deploying tools used for data analysis
• Experience using Spark, Presto, Flink, or Snowflake
• Ability to work effectively in a dynamic environment that includes working with changing needs and requirements
• Ability to take on projects that require taking initiative and developing new expertise
• Large-Scale Dataset Handling
• SQL
• Object-Oriented Programming
• C
• C++
• Python
• Parquet
• Data Storage Formats
• Kubernetes
• Stream Data Processing
• Structured Data Processing
• Semi-Structured Data Processing
• Predictive Modeling
• Machine Learning Pipelines
• Clustering Analysis
• Anomaly Detection
• Custom ETL Design
• ETL Implementation
• ETL Maintenance
• Data Analysis Tool Development
• Data Analysis Tool Deployment
• Spark
• Presto
• Flink
• Snowflake
• Adaptability
• Initiative
• Learning Agility

Benefits

• You may also be eligible for long-term incentives, in the form of company stock or long-term cash awards
• Potential discretionary bonuses
• The ability to purchase additional stock at a discount through an Employee Stock Purchase Plan
• Access to comprehensive medical, vision, and dental coverage
• Access to a 401(k) retirement plan
• Short and long-term disability insurance
• Life insurance
• Paid parental leave
• You may also accrue 3 weeks of paid vacation
• Eligible for 10 or more paid holidays per year
• Employees in Washington State accrue paid sick time in compliance with state and federal law
• Company shuttles are offered to employees for roundtrip travel from select Seattle locations to the SpaceX Redmond office Monday to Friday

Company

• Designs, manufactures, and launches advanced rockets and spacecraft
• Hawthorne, California, USA
• https://www.spacex.com/
• Founded in 2002
• 1001-5000 employees

Qualifications

• Bachelor's degree in computer science, data science, physics, mathematics, or a STEM discipline
• 1+ years of data/software engineering experience (internship experience is applicable)
• Experience in analytics, data science, or machine learning
• Must be a (i) U.S. citizen or national, (ii) U.S. lawful, permanent resident (aka green card holder), (iii) Refugee under 8 U.S.C. § 1157, or (iv) Asylee under 8 U.S.C. § 1158, or be eligible to obtain the required authorizations from the U.S. Department of State
• Experience handling large (TB+) datasets
• Experience using SQL
• Development experience in an object-oriented programming language (i.e. C, C++, Python)
• Experience building solutions with Parquet, or similar storage formats
• Knowledge of Kubernetes
• Experience building solutions with in-stream data processing of structured and semi-structured data
• Experience building predictive models and machine learning pipelines (clustering analysis, prediction, anomaly detection)
• Experience in custom ETL design, implementation, and maintenance
• Experience with developing and deploying tools used for data analysis
• Experience using Spark, Presto, Flink, or Snowflake
• Ability to work effectively in a dynamic environment that includes working with changing needs and requirements
• Ability to take on projects that require taking initiative and developing new expertise

Required skills

• Apache Spark, C, C++, Data Analytics, Data Science, ETL, Kubernetes, Machine Learning, Parquet, Python, SQL, Stream Processing

Preferred skills

• Experience handling large (TB+) datasets, Experience using SQL, Experience using Spark, Presto, Flink, or Snowflake, Knowledge of Kubernetes

Experience

• 1+ years