Analytics Engineer - Real-Time Data Pipelines & Impact

SpaceX Super Intelligence; Palo Alto (CA); Presencial; USD 180 000 - 440 000; Tempo integral

Resumo da oferta

SpaceXSI is seeking an Analytics Engineer to design and maintain data systems powering high-impact quantitative analysis. You will build robust pipelines and models to enable data-driven decision making at global scale.

You will collaborate with product engineering, operations, and analytics teams to translate business requirements into production-grade data infrastructure, implement monitoring, and mentor others on best practices for scalable data engineering.

Qualificações

• 4+ years of production data pipelines experience.
• Python, SQL, and distributed computing experience.
• Expertise in statistical methods and experimental design.
• Experience with cloud services for data storage and processing.
• Bachelor's or Master's in CS, Statistics, or related field.

Responsabilidades

• Design, implement, and optimize end-to-end data pipelines for high-volume datasets.
• Develop quantitative models and frameworks for experimentation and forecasting.
• Build data infrastructure ensuring data quality and accessibility for analytics.
• Collaborate with product engineering, product, and operations to translate requirements into production-grade data systems.
• Conduct A/B tests, causal analysis, and performance evaluations.
• Implement monitoring and automation for data systems to support real-time decision making.
• Mentor teammates on best practices for scalable data engineering and quantitative problem-solving.

Conhecimentos

Python

SQL

Statistical methods

Predictive modeling

Experimental design

Cloud services

Problem solving

Formação académica

Bachelor's or Master's in CS/Statistics/Applied Mathematics or related quantitative field

Ferramentas

Spark

Flink

Hadoop

Descrição da oferta de emprego

SpaceXSI is seeking an Analytics Engineer to design and maintain data systems powering high-impact quantitative analysis. You will build robust pipelines and models to enable data-driven decision making at global scale.

You will collaborate with product engineering, operations, and analytics teams to translate business requirements into production-grade data infrastructure, implement monitoring, and mentor others on best practices for scalable data engineering.