Analytics Engineer - X

Highlights

• Build mission-critical systems powering global quantitative decision-making.
• Design end-to-end pipelines for high-volume datasets enabling business decisions.
• Drive measurable improvements through experimentation, forecasting and evaluation.

What they offer

• equity
• comprehensive medical, vision, and dental coverage
• 401(k) retirement plan
• short and long-term disability insurance
• life insurance
• discounts and perks

Ideal candidate

A curious, hands-on problem-solver who thrives in flat, high-ownership teams and cares about turning rigorous analysis into reliable, business-impacting systems.

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