Data Engineer — Global Mobile Connectivity

SpaceX; Redmond; On-site; AUD 180,000 - 288,000; Full time

Job summary

SpaceX in Redmond, WA is seeking a Data Engineer for the Starlink Mobile program. You will build and maintain data infrastructure, ingest and transform data, and apply analytics to scale a global mobile network serving millions of users.

Responsibilities include automating metric collection, leading investigations, and collaborating with operators, engineers, and external partners. The role requires strong data engineering and ML analytics skills.

Qualifications

• Bachelor’s degree in computer science, data science, physics, mathematics, or a STEM discipline.
• 1+ years of data/software engineering experience (internship acceptable).
• Experience in analytics, data science, or machine learning.

Responsibilities

• Build and maintain mission-critical infrastructure, tools, and custom software to assess growth areas for Starlink Mobile.
• Automate metric aggregation and detection of widespread application issues.
• Establish relationships with third-party application/content owners.
• Lead technical investigations into chronic application-level issues.
• Develop ground-based software for data ingestion, transformation and storage.
• Apply analytics, models, and techniques to data products created by space vehicles.
• Create catalogs of data and tools for analytics by teams.
• Fuse data from multiple sources to create usable information.

Skills

Large TB+ datasets

SQL

OO programming (C/C++, Python)

Streaming data processing

ML pipelines

ETL design

Data analytics

Data ingestion

Education

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

Tools

Parquet

Spark

Presto

Flink

Snowflake

Kubernetes

Job description

SpaceX in Redmond, WA is seeking a Data Engineer for the Starlink Mobile program. You will build and maintain data infrastructure, ingest and transform data, and apply analytics to scale a global mobile network serving millions of users.

Responsibilities include automating metric collection, leading investigations, and collaborating with operators, engineers, and external partners. The role requires strong data engineering and ML analytics skills.