Назад
4 дня назад

Analytics Engineer (X)

140 000 - 225 000$
Формат работы
onsite
Тип работы
fulltime
Грейд
middle
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Analytics Engineer (X) (Python/SQL, Spark, Flink): Building scalable data pipelines, analytical infrastructure, and quantitative models for high-volume datasets and global-scale decision-making with an accent on experimentation, forecasting, and data quality. Focus on designing real-time data systems, conducting A/B tests and causal analysis, and optimizing low-latency processing and operational efficiency.

Location: Palo Alto, California, United States

Base salary: $140,000–$225,000 USD per year

Company

xAI is building Super Intelligence systems across supercomputing infrastructure, Grok models, and applications including X.

What you will do

  • Design, implement, and optimize end-to-end pipelines for high-volume data using Spark, Kafka, and/or Flink.
  • Develop quantitative models and statistical frameworks for experimentation, forecasting, and performance measurement.
  • Build data infrastructure that maintains quality, consistency, and accessibility for analytical workflows.
  • Translate business requirements into production-grade data systems and insights in collaboration with product engineering, product, and operations.
  • Conduct A/B tests, causal analysis, and performance evaluations to improve key metrics.
  • Implement monitoring, alerting, automation, and mentoring practices for scalable data engineering and quantitative problem-solving.

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.

Nice to have

  • Expertise in statistical methods, predictive modeling, hypothesis testing, and experimental design.
  • Understanding of cloud services for data storage, processing, and orchestration.
  • Experience in consumer technology or social media.
  • Experience with real-time streaming systems and low-latency data processing.
  • Contributions to open-source data tools or publications on large-scale analytics systems.
  • Experience reducing operational costs or improving system efficiency through data optimizations.
  • Ability to combine engineering excellence with rigorous analytical approaches.

Culture & Benefits

  • Mission-critical systems support quantitative decision-making at global scale.
  • Equity and comprehensive medical, vision, and dental coverage.
  • 401(k) retirement plan, short- and long-term disability insurance, life insurance, discounts, and other perks.
  • Equal opportunity employer.

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