Principal Software Engineer (AI Data)

TL;DR

Principal Software Engineer (AI Data): Designing and implementing scalable data solutions for the Microsoft Advertising platform with an accent on data integrity, accessibility, and leveraging data insights. Focus on developing and optimizing data models, utilizing advanced analytics techniques, and ensuring data quality in complex data pipelines.

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

Salary: USD $139,900 – $274,800 per year (or USD $188,000 – $304,200 for specific locations).

Company

hirify.global empowers the world’s largest advertisers to reach their maximum potential through digital advertising solutions on the Microsoft Advertising platform.

What you will do

• Collaborate with cross-functional teams to understand data requirements and deliver high-quality data solutions.
• Develop and optimize data models to support data analytics.
• Utilize advanced analytics techniques to extract insights from large datasets and drive data-driven decision making.
• Implement data validation frameworks and monitoring systems to detect and resolve data quality issues.
• Troubleshoot and resolve issues in data pipelines to ensure timely and accurate data delivery.
• Coach and mentor peers and emerging team members while advocating for best practices.

Requirements

• Bachelor’s Degree in Computer Science or a related technical field.
• 6+ years of technical engineering experience with coding in languages including C, C++, C#, Java, JavaScript, or Python.
• Ability to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.

Nice to have

• Master’s Degree in Computer Science or a related technical field and 8+ years of technical engineering experience OR Bachelor’s Degree and 12+ years of experience.
• 6+ years of experience in software engineering, with a focus on data engineering and data analytics.
• Solid experience with data processing frameworks such as Apache Spark or Hadoop.
• Expertise in SQL and experience with RDBMS and Key Value stores.
• Familiarity with cloud platforms and data services, specifically Azure.
• Experience with machine learning and data science tools and frameworks.
• Knowledge of data visualization tools (e.g., Tableau, Power BI).
• Experience with containerization and orchestration tools (e.g., Docker, Kubernetes).

Culture & Benefits

• Microsoft’s mission is to empower every person and every organization on the planet to achieve more.
• Employees come together with a growth mindset, innovate to empower others, and collaborate to realize shared goals.
• Culture of inclusion built on values of respect, integrity, and accountability.
• Opportunities to connect with additional benefits and pay information on the Microsoft careers website.