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Senior Software Engineer (AI)

119 800 - 258 000$
Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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TL;DR

Senior Software Engineer (AI/Data Engineering): Designing and implementing scalable data solutions for the hirify.global Advertising platform with an accent on data pipeline optimization and large-scale data analytics. Focus on building robust data models, ensuring data integrity, and leveraging advanced analytics to drive business decision-making.

Location: Mountain View, United States (Hybrid - 4 days per week in office)

Salary: $119,800 – $258,000 per year

Company

hirify.global AI empowers organizations to achieve more through innovative digital advertising and AI solutions.

What you will do

  • Collaborate with cross-functional teams to deliver high-quality data solutions based on business requirements.
  • Develop and optimize data models to support advanced data analytics.
  • Extract insights from large datasets using advanced analytics techniques to drive decision-making.
  • Implement data validation frameworks and monitoring systems to resolve quality issues.
  • Troubleshoot and maintain data pipelines to ensure accurate and timely delivery.
  • Mentor peers and emerging team members while promoting engineering best practices.

Requirements

  • Bachelor's degree in Computer Science or related field.
  • 4+ years of technical engineering experience with C, C++, C#, Java, JavaScript, or Python.
  • Must be able to work from the office at least four days per week if living within a 50-mile commute of a designated office.
  • Ability to pass the hirify.global Cloud background check upon hire and every two years thereafter.

Nice to have

  • Master's degree or 8+ years of technical engineering experience.
  • 3+ years of experience in data engineering, data modeling, or business analytics.
  • Experience with Apache Spark, Hadoop, SQL, and RDBMS.
  • Familiarity with Azure and cloud-based data services.
  • Knowledge of machine learning frameworks and data visualization tools like Tableau or Power BI.
  • Experience with containerization tools including Docker and Kubernetes.

Culture & Benefits

  • Growth mindset culture focused on innovation and empowerment.
  • Commitment to respect, integrity, and accountability.
  • Inclusive work environment where everyone can thrive.
  • Competitive base pay and comprehensive compensation benefits.

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