Назад
Company hidden
обновлено 3 часа назад

Senior Software Engineer (Data Engineering)

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
Для мэтча и отклика нужен Plus

Мэтч & Сопровод

Для мэтча с этой вакансией нужен Plus

Описание вакансии

Текст:
/

TL;DR

Senior Software Engineer (Data Engineering): Designing and implementing scalable data solutions for the Microsoft Advertising platform with an accent on data modeling, pipeline optimization, and large-scale analytics. Focus on building robust data validation frameworks, ensuring system scalability, and leveraging Azure services to drive data-driven business decisions.

Location: Redmond, United States. Must live within a 50-mile commute of a designated Microsoft office in the U.S. and work from the office at least four days per week.

Salary: USD $119,800 – $258,000 per year

Company

hirify.global empowers every person and every organization on the planet to achieve more through innovation and collaboration.

What you will do

  • Collaborate with cross-functional teams to deliver high-quality data solutions.
  • 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 ensure data quality.
  • Troubleshoot and resolve issues in data pipelines for accurate and timely delivery.
  • Mentor peers and advocate for engineering best practices with a security-first mindset.

Requirements

  • Bachelor’s degree in Computer Science or a related technical field.
  • 4+ years of technical engineering experience with coding in C, C++, C#, Java, JavaScript, or Python.
  • Must pass the Microsoft Cloud background check upon hire and every two years thereafter.
  • Must be able to meet Microsoft, customer, and government security screening requirements.

Nice to have

  • Experience with data processing frameworks such as Apache Spark and Hadoop.
  • Expertise in SQL and experience with RDBMS and Key-Value stores.
  • Familiarity with Azure and other cloud platforms.
  • Knowledge of machine learning, data science tools, and visualization tools (e.g., Tableau, Power BI).
  • Experience with containerization and orchestration tools like Docker and Kubernetes.

Culture & Benefits

  • Culture based on respect, integrity, accountability, and a growth mindset.
  • Environment focused on inclusion where everyone can thrive.
  • Access to comprehensive corporate benefits and pay structures.
  • Collaborative atmosphere dedicated to empowering others.

Будьте осторожны: если работодатель просит войти в их систему, используя iCloud/Google, прислать код/пароль, запустить код/ПО, не делайте этого - это мошенники. Обязательно жмите "Пожаловаться" или пишите в поддержку. Подробнее в гайде →