Analytics Engineer - Scale Data Pipelines with Equity

SpaceX Super Intelligence; San Jose (CA); On-site; USD 180,000 - 440,000; Full time

Job summary

SpaceXSI is seeking an Analytics Engineer to design and maintain robust data systems enabling high-impact quantitative analysis and strategic decision-making at global scale.

You will build end-to-end data pipelines with Spark, Kafka, and Flink, develop statistical models for experimentation and forecasting, and ensure data quality for analytical work across the organization. Collaboration, monitoring, and mentorship are core parts of the role.

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

Responsibilities

• 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.

Skills

Python

SQL

Spark

Flink

Hadoop

Statistics

Predictive modeling

Experimental design

Cloud services

Data pipelines

Education

Bachelor's/Master's degree in CS/Stats/Applied Math

Tools

Kafka

Spark

Flink

Hadoop

Data warehouses

Job description

SpaceXSI is seeking an Analytics Engineer to design and maintain robust data systems enabling high-impact quantitative analysis and strategic decision-making at global scale.

You will build end-to-end data pipelines with Spark, Kafka, and Flink, develop statistical models for experimentation and forecasting, and ensure data quality for analytical work across the organization. Collaboration, monitoring, and mentorship are core parts of the role.