Analytics Engineer (X)

Job summary

Responsibilities

SpaceX was founded under the belief that a future where humanity is out exploring the stars is fundamentally more exciting than one where we are not. Today, SpaceX is actively developing the technologies to make this possible, with the ultimate goal of making life multiplanetary and expanding…

• Design, implement, and optimize end-to-end data pipelines for processing high-volume datasets using tools such as Spark, Kafka, and/or Flink
• Develop quantitative models and statistical frameworks to support experimentation, forecasting, and performance measurement
• Build and maintain data infrastructure that ensures data quality, consistency, and accessibility for analytical workflows
• Collaborate with product engineering, product, and operations teams to translate business requirements into production-grade data systems and insights
• Conduct A/B tests, causal analysis, and performance evaluations to drive measurable improvements in key metrics

What they're looking for

• Bachelor's or master's degree in computer science, statistics, applied mathematics, or quantitative field
• 2+ years of experience building production data pipelines and infrastructure at scale
• Experience in Python, SQL, and distributed computing frameworks (e.g., Spark, Flink, Hadoop)
• Demonstrated expertise in statistical methods, predictive modeling, hypothesis testing, and experimental design
• Solid understanding of cloud services for data storage, processing, and orchestration

Tech stack

• Spark
• Kafka
• Python
• SQL