Responsibilities
- Design, develop, deploy, and operate scalable cloud-based data, analytics, automation, and tooling solutions using modern data platforms and Cloud services.
- Integrate AI capabilities such as Azure OpenAI, Cognitive Services, and ML models to enhance system intelligence and user productivity.
- Apply industry best practices in engineering to design and deliver high-quality, scalable solutions. Own your solution end-to-end through design, implementation, and operations.
- Implement robust monitoring, logging, and alerting for proactive issue detection. Use telemetry and analytics to understand customer behavior and inform product decisions.
- Collaborate cross-functionally with stakeholders, product managers, and engineers to deliver integrated, customer-focused experiences.
- Contribute to the evolution of Microsoft’s data platforms through technical feedback and innovation.
- Embody and champion our Culture and Values and promote continuous learning.
- Additional areas may include:
- ETL Pipelines: Building and managing ETL (Extract, Transform, Load) pipelines.
- Data Visualization: Creating visual representations of key data insights for end-users.
Qualifications
Required/Minimum Qualifications
- Bachelor's Degree in Computer Science or related technical field AND 2+ years of engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python, or equivalent experience.
- Programming skills in one or more languages: C#, Java, Python, JavaScript, C++.
- 2+ years of experience with technologies such as SQLServer, Synapse, Azure Data Lake, Azure Data Factory, Databricks, or similar.
- Business-level fluency in reading, writing, and speaking English and Spanish.
Additional or Preferred Qualifications
- Master's Degree in Computer Science or related field AND 2+ years of experience, or Bachelor's Degree AND 4+ years of experience, with coding in relevant languages, or equivalent experience.
- Exposure to Microsoft Azure or other cloud platforms (GCP, AWS).
- Familiarity with AI/ML fundamentals, tools (like Azure ML, OpenAI), or data analytics workflows.
- Understanding of version control systems (e.g., Git), DevOps, and CI/CD practices.
- Knowledge of Cloud Native Architecture, including cost management, scalability, and observability.
- Curiosity, collaboration mindset, and passion for solving real-world customer problems.
Microsoft will accept applications until July 18, 2025. Microsoft is an equal opportunity employer. All qualified applicants will receive consideration without regard to age, ancestry, color, family or medical leave, gender identity/expression, genetic information, marital status, medical condition, national origin, disability, political affiliation, veteran status, race, religion, sex (including pregnancy), sexual orientation, or other protected characteristics. If you need assistance or a reasonable accommodation due to a disability during the application or recruiting process, please send a request via the Accommodation request form.