Analytics Engineer: Scale Data Pipelines & Models

SpaceX Super Intelligence; Mountain View (CA); Sur place; USD 180 000 - 440 000; Plein temps

Avantages offerts par ce poste

Equity

Medical insurance

Vision insurance

Dental insurance

401(k) plan

Disability insurance

Life insurance

Employee discounts

Résumé du poste

SpaceXSI in Mountain View seeks an Analytics Engineer to design and maintain robust data systems enabling high-impact quantitative analysis and business decisions at global scale.

You will build end-to-end data pipelines with Spark and Kafka, develop statistical models, ensure data quality, and collaborate across product, engineering, and operations to translate requirements into production-grade data solutions.

Qualifications

• 4+ years of experience building production data pipelines and infrastructure at scale.
• Strong proficiency 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.
• Bachelor's or Master's degree in Computer Science, Statistics, Applied Mathematics, or related quantitative field.
• Excellent problem-solving skills with a focus on delivering business impact through reliable systems

Responsabilités

• Design, implement, and optimize end-to-end data pipelines for processing high-volume datasets using tools such as Spark, Kafka, Flink, etc.
• 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.
• Implement monitoring, alerting, and automation for data systems to support real-time decision support.
• Mentor team members on best practices for scalable data engineering and quantitative problem-solving.

Connaissances

Python

SQL

Distributed computing

Statistical methods

Experiment design

Problem-solving

Cloud services

Formation

Bachelor's or Master's in CS/Statistics/Applied Math

Outils

Spark

Flink

Hadoop

Description du poste

SpaceXSI in Mountain View seeks an Analytics Engineer to design and maintain robust data systems enabling high-impact quantitative analysis and business decisions at global scale.

You will build end-to-end data pipelines with Spark and Kafka, develop statistical models, ensure data quality, and collaborate across product, engineering, and operations to translate requirements into production-grade data solutions.