Senior Analytics Engineer (X)

SR. ANALYTICS ENGINEER (X)

We are seeking a skilled Senior 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, and/or Flink
• 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

BASIC QUALIFICATIONS:

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

PREFERRED SKILLS AND EXPERIENCE:

• Demonstrated expertise in statistical methods, predictive modeling, hypothesis testing, and experimental design
• 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
• 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

COMPENSATION AND BENEFITS:

$180,000 - $440,000 USD

Base salary is just one part of our total rewards package at SpaceXSI, which also includes equity, comprehensive medical, vision, and dental coverage, access to a 401(k) retirement plan, short & long-term disability insurance, life insurance, and various other discounts and perks.