Analytics Engineer — Scalable Data Pipelines & Insights

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

Benefits offered by this job

equity

comprehensive medical

vision

dental coverage

access to a 401(k) retirement plan

short & long-term disability insurance

life insurance

various other discounts and perks

Job summary

SpaceXSI in San Francisco is seeking an Analytics Engineer to build and maintain robust data systems that enable high-impact quantitative analysis and business decision-making. This role blends strong software engineering practices with expertise in large-scale data processing to deliver reliable, scalable solutions powering global operations.

You will design end-to-end data pipelines, develop predictive models, ensure data quality, and collaborate with product, engineering, and operations teams

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

Distributed computing

Experimental design

Education

Bachelor's or Master’s degree in Computer Science/Statistics/Applied Mathematics

Tools

Spark

Flink

Hadoop

Job description

SpaceXSI in San Francisco is seeking an Analytics Engineer to build and maintain robust data systems that enable high-impact quantitative analysis and business decision-making. This role blends strong software engineering practices with expertise in large-scale data processing to deliver reliable, scalable solutions powering global operations.

You will design end-to-end data pipelines, develop predictive models, ensure data quality, and collaborate with product, engineering, and operations teams