Analytics Engineer: Real-Time Data Pipelines & Insights

SpaceXSI; Palo Alto (CA); In loco; USD 140.000 - 225.000; Tempo pieno

Vantaggi offerti da questo lavoro

Equity

Medical coverage

Vision and dental

401(k)

Disability insurance

Life insurance

Employee discounts

Descrizione del lavoro

SpaceXSI is seeking an Analytics Engineer to build and maintain robust data systems that empower high-impact quantitative analysis and business decisions. You will design, implement, and optimize end-to-end data pipelines using Spark, Kafka, and Flink, and develop models for experimentation, forecasting, and performance measurement.

Collaborating with product engineering, product, and operations teams, you will translate business requirements into production-grade data solutions, ensure data

Competenze

• 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).

Mansioni

• Design, implement, and optimize end-to-end data pipelines for processing 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 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.

Conoscenze

Statistical methods

Experiment design

Cloud services

Real-time processing

Problem solving

Formazione

BSc/MSc in CS or Stats

Strumenti

Python

SQL

Spark

Flink

Hadoop

Descrizione del lavoro

SpaceXSI is seeking an Analytics Engineer to build and maintain robust data systems that empower high-impact quantitative analysis and business decisions. You will design, implement, and optimize end-to-end data pipelines using Spark, Kafka, and Flink, and develop models for experimentation, forecasting, and performance measurement.

Collaborating with product engineering, product, and operations teams, you will translate business requirements into production-grade data solutions, ensure data