Analytics Engineer — Real-Time Data Pipelines & Impact

AI Chopping Block; Palo Alto, Northern (CA, KY); Hybrid; USD 180,000 - 440,000; Full time

Benefits offered by this job

Equity

Comprehensive medical, vision, dental

401(k) retirement plan

Short & long-term disability

Life insurance

Employee discounts

Job summary

SpaceXAIAI is seeking an Analytics Engineer to build and maintain robust data systems for high-impact quantitative analysis and business decision-making. This role blends software engineering with advanced analytics to deliver reliable, scalable solutions.

You will design end-to-end data pipelines, develop models for experimentation and forecasting, and ensure data quality across the organization. Collaboration with product and operations is essential for production-grade insights.

Qualifications

• 4+ years of experience building production data pipelines and infrastructure at scale.
• Demonstrated expertise in statistical methods, predictive modeling, hypothesis testing, and experimental design.
• Solid understanding of cloud services for data storage, processing, and orchestration.
• 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

Statistical methods

Experiment design

Cloud services

Problem solving

Communication

Education

Bachelor's or Master's in Computer Science, Statistics, Applied Mathematics, or related quantitative field

Tools

Spark

Flink

Hadoop

Kafka

Job description

SpaceXAIAI is seeking an Analytics Engineer to build and maintain robust data systems for high-impact quantitative analysis and business decision-making. This role blends software engineering with advanced analytics to deliver reliable, scalable solutions.

You will design end-to-end data pipelines, develop models for experimentation and forecasting, and ensure data quality across the organization. Collaboration with product and operations is essential for production-grade insights.