Principal Software Engineer (AI)

TL;DR

Principal Software Engineer (Data Engineering): Building and optimizing scalable data solutions for the Microsoft Advertising platform with an accent on data integrity, accessibility, and leveraging data insights for business decisions. Focus on designing robust data models, implementing data validation frameworks, and troubleshooting complex data pipelines.

Location: Hybrid, requiring office presence four days per week if living within a 50-mile commute of a designated Microsoft office in the U.S.

Salary: $139,900–$274,800 USD per year (U.S. general); $188,000–$304,200 USD per year (San Francisco Bay area and New York City metropolitan area).

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.
• Work with a security-first mindset, focusing on system scalability and maintainability.

Requirements

• Bachelor’s Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including C, C++, C#, Java, JavaScript, or Python OR equivalent experience.
• Ability to meet Microsoft, customer and/or government security screening requirements are required for this role.
• Required 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 related technical field AND 8+ years technical engineering experience OR Bachelor’s Degree AND 12+ years 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, Hadoop.
• Expertise in SQL and experience with RDBMS, Key Value stores.
• Familiarity with cloud platforms and data services (e.g., 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).
• Solid communication skills.

Culture & Benefits

• Foster a growth mindset, innovate to empower others, and collaborate to realize shared goals.
• Values of respect, integrity, and accountability to create a culture of inclusion.
• Additional benefits and pay information can be found on Microsoft's careers website.

Hiring process

• Applications accepted on an ongoing basis until the position is filled.