Analytics Engineer - Real-Time Data Pipelines

SpaceXAI; Mountain View (CA); On-site; USD 180,000 - 440,000; Full time

Benefits offered by this job

Equity

Medical, vision, and dental coverage

401(k) retirement plan

Disability insurance

Life insurance

Job summary

SpaceXAI is seeking an Analytics Engineer in Mountain View, CA, to design and maintain scalable data systems that enable high-impact quantitative analysis and business decision-making.

You will implement end-to-end data pipelines using Spark, Flink, and related technologies, develop forecasting models, and collaborate with cross-functional teams to power global decision support. The role emphasizes practical engineering and rigorous analytics to drive measurable improvements.

Qualifications

• 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

Responsibilities

• Design, implement, and optimize end-to-end data pipelines for processing high-volume datasets using tools such as Spark, Kafka, Flink, etc.
• 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.

Skills

Python

SQL

Statistical methods

Predictive modeling

Experiment design

Problem solving

Education

Bachelor's or Master's in Computer Science, Statistics, Applied Mathematics, or related quantitative field

Tools

Spark

Flink

Hadoop

Cloud services

Job description

SpaceXAI is seeking an Analytics Engineer in Mountain View, CA, to design and maintain scalable data systems that enable high-impact quantitative analysis and business decision-making.

You will implement end-to-end data pipelines using Spark, Flink, and related technologies, develop forecasting models, and collaborate with cross-functional teams to power global decision support. The role emphasizes practical engineering and rigorous analytics to drive measurable improvements.