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Job Description

SpaceXSI is seeking an Analytics Engineer to design and operate data systems that support high-impact quantitative analysis and dependable business decisions. This role combines production data engineering with advanced analytical work to deliver scalable, reliable insights.

Responsibilities

  • Design, build, and optimize end-to-end data pipelines for high-volume datasets using Spark, Kafka, and/or Flink
  • Develop quantitative models and statistical frameworks to support experimentation, forecasting, and performance measurement
  • Build and maintain analytics infrastructure focused on data quality, consistency, and accessibility
  • Partner with product engineering, product, and operations teams to convert business needs into production-grade data systems and insights
  • Run A/B tests, perform causal analysis, and conduct performance evaluations to improve key metrics
  • Implement monitoring, alerting, and automation to support real-time decision support
  • Mentor team members on scalable data engineering practices and quantitative problem-solving approaches

Requirements

  • Bachelor’s or master’s degree in computer science, statistics, applied mathematics, or another quantitative field
  • 2+ years of experience building production data pipelines and infrastructure at scale
  • Experience with Python, SQL, and distributed computing frameworks such as Spark, Flink, or Hadoop

Preferred Skills and Experience

  • Proven expertise in statistical methods, predictive modeling, hypothesis testing, and experimental design
  • Strong understanding of cloud services for data storage, processing, and orchestration
  • Problem-solving skills with a focus on delivering business value through dependable systems
  • Experience 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 lowering operational costs or improving system efficiency through data optimization
  • Ability to connect engineering execution with rigorous analytical methods

Technologies

  • Spark
  • Kafka
  • Flink
  • Python
  • SQL
  • Hadoop

Compensation and Benefits

Salary: USD 140,000 to 225,000 per year.

SpaceXSI’s total rewards package also includes equity, comprehensive medical, vision, and dental coverage, access to a 401(k) retirement plan, short- and long-term disability insurance, and life insurance, along with various other discounts and perks.

Location

Palo Alto, CA (onsite)

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