Analytics Engineer - X

SpaceXSI is seeking an Analytics Engineer to build and maintain robust data systems for quantitative analysis and business decision-making. The role focuses on scalable data pipelines and infrastructure, analytical models and experimentation, and reliable data solutions across the organization.

Computer Software

• Insider Connection @SpaceX Super Intelligence
• 2 email credits available today
• Beyond your network
• Nadeem Hussein & 2 connections
• From your previous company
• Ika J.
• Datacenter Linux Systems Administrator
• Previously@Tata Consultancy Services
• from your School
• Lauren Maund
• GTM

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

Preferred

• 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 through data optimizations
• Have the ability to bridge engineering excellence with rigorous analytical approaches

Benefits

• Equity
• Comprehensive medical, vision, and dental coverage
• Access to a 401(k) retirement plan
• Short & long-term disability insurance
• Life insurance
• Various other discounts and perks
• Understand the Universe.
• https://x.ai
• Distribution of Different Job Fields Receiving Sponsorship
• Represents job field similar to this job
• Engineering and Development
• Customer Service and Support
• Management and Executive
• Sales
• Marketing
• Trends of Total Sponsorships
• *2026
• (47)
• 2025
• (33)
• 2024
• (9)
• 2023
• (2)
• Late Stage
• Leadership Team
• Christian Szegedy
• Co-Founder
• Kyle Kosic

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
• 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 through data optimizations
• Have the ability to bridge engineering excellence with rigorous analytical approaches
• 4+ years of experience building production data pipelines and infrastructure at scale.

Required skills

• Apache Flink, Apache Spark, Consumer Technology, Data Pipeline Engineering, Experimental Design, Hadoop, Hypothesis Testing, Predictive Modeling, Python, Real-Time Data Processing, SQL, Social Media, Statistical Methods

Preferred skills

• Prior work in consumer technology, or social media domains

Experience

• 4+ years