X Analytics Engineer

• 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
• This is an opportunity to work on mission-critical systems that power quantitative decision-making at global scale
• 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

Benefits

• Health and wellness: Comprehensive health insurance including medical, dental, vision, and disability coverage
• Life and family: Life and AD&D insurance and fertility benefits to ensure our team’s well-being and peace of mind
• Flexible vacation: We work hard but avoid burn out. Take time off when you need it
• Visa sponsorship: We support international talent with visa sponsorship to join our team
• 401(k) plan: Retirement savings plan to secure your financial future- 4+ years of experience building production data pipelines and infrastructure at scale
• Bachelor’s or Master’s degree in Computer Science, Statistics, Applied Mathematics, or related quantitative field
• Strong proficiency in Python, SQL, and distributed computing frameworks (e.g., Spark, Flink, Hadoop)
• 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
• Demonstrated expertise in statistical methods, predictive modeling, hypothesis testing, and experimental design
• 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