Data Engineer, Starlink Mobile Analytics & Growth

SpaceX; Redmond (WA); Presencial; USD 125.000 - 200.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Stock options

Discretionary bonuses

401(k) plan

Medical, vision, dental

Paid vacation & holidays

Descripción de la vacante

SpaceX is seeking a Data Engineer for the Starlink Mobile program in Redmond, WA. You will design metrics, tools, and services to monitor scaling and performance across a global user base.

You will collaborate with operators, engineers, and external partners to ensure reliable data pipelines and analytics capabilities. The role emphasizes processing large datasets, ETL design, and ML-driven insights in a fast-paced environment.

Formación

• 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.

Responsabilidades

• Build and maintain mission-critical infrastructure, tools, processes, and custom software to assess growth areas for Starlink Mobile.
• Automate the aggregation of metrics and detection of issues across Starlink Mobile.
• Establish relationships with key third-party application/content owners.
• Lead technical investigations about chronic application-level issues.
• Build data ingestion, transformation, and storage systems.
• Apply data analytics and ML techniques to data products.

Conocimientos

SQL

Python

C/C++

Parquet

Kubernetes

Spark/Presto/Flink/Snowflake

ETL design

Data analytics

Educación

Bachelor's degree in CS/DS/Physics/Math or STEM

Herramientas

Parquet

Spark

Descripción del empleo

SpaceX is seeking a Data Engineer for the Starlink Mobile program in Redmond, WA. You will design metrics, tools, and services to monitor scaling and performance across a global user base.

You will collaborate with operators, engineers, and external partners to ensure reliable data pipelines and analytics capabilities. The role emphasizes processing large datasets, ETL design, and ML-driven insights in a fast-paced environment.