Analytics Engineer — Build Scalable Data Pipelines + Equity

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

Benefits offered by this job

Equity

Medical, vision & dental coverage

401(k) retirement plan

Short & long-term disability insurance

Life insurance

Discounts and perks

Job summary

SpaceXAI is seeking an Analytics Engineer to design and maintain data systems that enable high-impact quantitative analysis and business decisions at global scale. You will build robust data pipelines using Spark, Kafka, Flink, and cloud services, developing models and experiments to drive measurable outcomes.

You will collaborate with product and operations teams, implement monitoring and automation, and mentor others in scalable data engineering and analytical problem-solving.

Qualifications

• 4+ years 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

Statistics

Cloud services

Experiment design

Education

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

Tools

Spark

Flink

Hadoop

Kafka

Job description

SpaceXAI is seeking an Analytics Engineer to design and maintain data systems that enable high-impact quantitative analysis and business decisions at global scale. You will build robust data pipelines using Spark, Kafka, Flink, and cloud services, developing models and experiments to drive measurable outcomes.

You will collaborate with product and operations teams, implement monitoring and automation, and mentor others in scalable data engineering and analytical problem-solving.