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Analytics Engineer (X)
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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