Data Software Engineer - Starlink (TS Clearance)

SPACE EXPLORATION TECHNOLOGIES CORP

Hawthorne (CA)

On-site

USD 125,000 - 195,000

Full time

14 days+
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Benefits offered by this job

Stock options
Comprehensive benefits
Paid vacation and holidays
401(k)

Job summary

SpaceX is seeking a Software Engineer, Data for the Starlink program in Hawthorne, CA. You will develop data pipelines and applications to improve SpaceX operations, collaborating with engineers to design, implement, and review solutions that enable robust satellite internet services.

The role requires ownership of software development and the ability to translate complex business problems into scalable data systems.

Qualifications

  • Bachelor's degree or 2+ years of professional software experience.
  • 1+ years of experience in full stack development, software engineering, data engineering, or data science.
  • Active Top-Secret or Top-Secret SCI clearance.

Responsibilities

  • Develop highly reliable and scalable data pipelines to empower engineers across SpaceX.
  • Create new applications that improve how the business at SpaceX operates.
  • Collaborate with peers on architecture, design, and code reviews.
  • Build prototypes to prove out key design concepts and quantify technical constraints.
  • Own all aspects of software engineering and product development.
  • Deep dive into business problems, find efficient solutions and apply first principles thinking.

Skills

Python
C#
Java
Scala
Go

Education

Bachelors degree or equivalent

Tools

Kafka
Spark
Flink
SQL
Hive
Delta Lake
PostgreSQL
CockroachDB
Grafana
Jupyter
Metabase
PowerBI

Job description

SpaceX is seeking a Software Engineer, Data for the Starlink program in Hawthorne, CA. You will develop data pipelines and applications to improve SpaceX operations, collaborating with engineers to design, implement, and review solutions that enable robust satellite internet services.

The role requires ownership of software development and the ability to translate complex business problems into scalable data systems.

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