Data Engineer (Direct To Cell) jobs in United States
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SpaceX · 2 weeks ago

Data Engineer (Direct To Cell)

SpaceX is actively developing technologies to enable human life on Mars and is seeking a Data Engineer to support the Direct to Cell network, which aims to provide seamless connectivity for LTE devices worldwide. In this role, you will develop strategies, tools, and processes to assess the scaling and effectiveness of the Direct to Cell Network, collaborating with various engineering teams and external partners.

Advanced MaterialsAerospaceManufacturingNational SecuritySpace Travel
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Growth Opportunities
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Responsibilities

Build and maintain mission-critical infrastructure, tools, processes, and custom software to objectively assess growth areas for the Direct to Cell program
Automate the aggregation of metrics and detection of widespread application issues across Direct to Cell
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

Qualification

Data engineeringSQLMachine learningPythonKubernetesETL designSparkC++Data analyticsPredictive modeling

Required

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 willing to work extended hours and weekends as needed

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

Benefits

Long-term incentives, in the form of company stock, stock options, or long-term cash awards
Potential discretionary bonuses
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 & long-term disability insurance
Life insurance
Paid parental leave
Various other discounts and perks
3 weeks of paid vacation
10 or more paid holidays per year
5 days of sick leave per year

Company

SpaceX is an aviation and aerospace company that designs, manufactures, and launches rockets and spacecraft.

Funding

Current Stage
Late Stage
Total Funding
$11.78B
Key Investors
Korea Investment PartnersIntesa SanpaoloAndreessen Horowitz
2025-12-12Secondary Market
2025-09-10Secondary Market
2025-08-13Secondary Market· $10M

Leadership Team

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Bret Johnsen
CFO
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Charles Kuehmann
VP Materials Engineering
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Company data provided by crunchbase