Analytics Engineer - X
xAI · Palo Alto, California
About this role
**Analytics Engineer - X** **ABOUT THE ROLE:** We are seeking a skilled Analytics Engineer to build and maintain robust data systems that enable high-impact quantitative analysis and business decision-making. This role combines strong software engineering practices with expertise in large-scale data processing and advanced analytical methods to deliver reliable, scalable solutions across the organization. **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 • Conduct A/B tests, causal analysis, and performance evaluations to drive measurable improvements • 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 **BASIC QUALIFICATIONS:** • 4+ years of experience building production data pipelines and infrastructure at scale • Strong proficiency in Python, SQL, and distributed computing frameworks (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 **PREFERRED SKILLS:** • Prior work in consumer technology or social media domains • Experience with real-time streaming systems and low-latency data processing • Contributions to open-source data tools or publications on large-scale analytics systems • Track record of reducing operational costs or improving system efficiency **COMPENSATION:** $180,000 - $440,000 USD + equity, medical, vision, dental, 401(k), disability insurance, and other benefits
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