Analytics Engineer - X

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.

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

Requirements

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

Nice to have

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