Analytics Engineer (X)

Skills

About the Role

You will design and optimize data pipelines for high-volume datasets, build quantitative models and statistical frameworks, and maintain data infrastructure. You will run A/B tests and causal analyses, set up monitoring and automation, collaborate with product and operations teams, and mentor teammates.

Requirements

• Bachelor's or master's degree in computer science, statistics, applied mathematics, or quantitative field
• 2+ years of experience building production data pipelines and infrastructure at scale
• Experience in Python, SQL, and distributed computing frameworks (e.g., Spark, Flink, Hadoop)

Responsibilities

• Design, implement, and optimize end-to-end data pipelines using Spark, Kafka, and/or Flink
• Develop quantitative models and statistical frameworks for experimentation, forecasting, and performance measurement
• Build and maintain data infrastructure ensuring data quality, consistency, and accessibility
• Collaborate with product engineering, product, and operations teams to translate business requirements into data systems
• Conduct A/B tests, causal analysis, and performance evaluations
• Implement monitoring, alerting, and automation for data systems
• Mentor team members on scalable data engineering and quantitative problem-solving

Benefits

• Equity
• Comprehensive medical, vision, and dental coverage
• 401(k) retirement plan
• Short & long-term disability insurance
• Life insurance
• Various discounts and perks