Cloud Data Engineer (Data Science) — AI-Powered Research

Cloud Data Engineer (Data Science) — AI-Powered Research

šŸ¢ Microsoft šŸ“ Remote, US šŸ’¼ 🌐 Remote šŸ’° USD 70,000 – 90,000 / year šŸ­ General šŸ“… 2026-06-13

šŸ¢ ABOUT THE COMPANY

Microsoft was founded in 1975 by Bill Gates and Paul Allen, and is now one of the world's largest and most influential technology companies. Our mission is to empower every person and organization on the planet to achieve more. As a global leader in technology, we're constantly pushing the boundaries of innovation and driving positive change in the world. Our culture values collaboration, creativity, and a passion for learning, and we're committed to making a difference in the communities we serve. Over the years, we've achieved countless milestones, from the development of the Windows operating system to the creation of the Xbox gaming console. Today, we're at the forefront of AI research, working to harness the power of machine learning to solve some of the world's most pressing challenges.

šŸŽÆ ROLE OVERVIEW

As a Cloud Data Engineer (Data Science) on our AI-Powered Research team, you'll play a critical role in designing and building scalable data architectures to support our cutting-edge AI research initiatives. You'll work closely with our data scientists and engineers to develop and deploy data pipelines, and collaborate with cross-functional teams to ensure seamless integration with our AI applications. You'll report directly to our Senior Data Engineer, and will have the opportunity to make a significant impact on the success of our AI research projects.

šŸ“‹ KEY RESPONSIBILITIES

* Design and implement scalable data architectures to support AI research initiatives, including data warehousing, ETL processes, and data quality controls.

* Develop and deploy data pipelines to support data science workloads, including data ingestion, processing, and storage.

* Collaborate with data scientists and engineers to develop data models and pipelines to support AI applications.

* Ensure data quality, security, and compliance with regulatory requirements, including GDPR and HIPAA.

* Develop and maintain data visualizations and reports to support data-driven decision-making.

* Participate in code reviews and contribute to the development of high-quality, scalable code.

* Stay up-to-date with emerging trends and technologies in data engineering and AI.

* Collaborate with cross-functional teams to ensure seamless integration with AI applications.

* Develop and maintain documentation of data architectures, pipelines, and data models.

* Identify and address data-related issues, and provide recommendations for process improvements.

* Collaborate with data governance team to ensure data quality, security, and compliance with regulatory requirements.

* Develop and maintain data security policies and procedures to ensure the security of sensitive data.

* Develop and maintain data backup and recovery procedures to ensure business continuity.

* Collaborate with cloud engineering team to develop and maintain cloud-based infrastructure, including AWS and Azure.

* Develop and maintain data architecture diagrams and documentation to support data-driven decision-making.

* Stay up-to-date with AWS and Azure cloud services, including data engineering and AI services.

* Develop and maintain knowledge sharing documentation to support knowledge transfer and collaboration.

* Participate in Agile development methodologies to prioritize work and meet project deadlines.

* Collaborate with other teams to ensure seamless integration with other teams.

* Develop and maintain relationships with stakeholders to ensure data meets business needs.

āœ… REQUIRED QUALIFICATIONS

* 5+ years of experience in data engineering, with a focus on cloud-based infrastructure and data processing.

* Bachelor's degree in Computer Science, Data Science, or related field.

* Expert-level knowledge of cloud-based data engineering, including AWS and Azure.

* Strong understanding of data modeling, data warehousing, and ETL processes.

* Experience with data governance, data security, and compliance with regulatory requirements.

* Strong programming skills in languages such as Python, Java, or C++.

* Experience with data visualization tools, such as Tableau or Power BI.

* Strong analytical and problem-solving skills, with ability to identify and address data-related issues.

* Experience with Agile development methodologies and prioritizing work to meet project deadlines.

⭐ PREFERRED QUALIFICATIONS

* Master's degree in Computer Science, Data Science, or related field.

* Experience with machine learning and AI technologies, including deep learning and natural language processing.

* Strong knowledge of data governance, data security, and compliance with regulatory requirements.

* Experience with cloud-based data engineering tools, such as AWS Lake Formation or Azure Synapse Analytics.

* Strong understanding of data architecture and data governance.

* Experience with data security policies and procedures, including cloud-based data security.

šŸ’° WHAT WE OFFER

As a Cloud Data Engineer (Data Science) on our AI-Powered Research team, you'll be eligible for a competitive salary range of $70,000 - $90,000 per year, based on experience. You'll also receive a comprehensive benefits package, including health insurance, retirement plan, and vacation days. We're committed to ongoing learning and development, and will provide a budget for professional development and conference attendance. We're proud to offer a flexible remote work policy, with the opportunity to work from home or in our offices in the United States. Our team is passionate about collaboration and innovation, and we're committed to creating a positive and inclusive work environment. If you're a talented and motivated individual who is passionate about data engineering and AI, we encourage you to apply for this exciting opportunity!

šŸ‘„ ABOUT THE TEAM

Our AI-Powered Research team is a group of highly skilled and motivated engineers, data scientists, and researchers who are passionate about harnessing the power of AI to solve real-world problems. We're a collaborative and inclusive team, with a focus on innovation and creativity. We're proud of our recent wins, including the development of a novel AI-powered chatbot for customer service. We're looking for talented individuals who share our passion for AI and data engineering, and who are eager to contribute to our team's success.

šŸ“Ø HOW TO APPLY

If you're a motivated and talented individual who is passionate about data engineering and AI, we encourage you to apply for this exciting opportunity. Please include your resume and a cover letter that outlines your relevant experience and qualifications. We're looking forward to hearing from you!

šŸ“‹ Job Details

Job Type 🌐 Remote
Location Remote, US
Address 123 Main St, 12345
Salary USD 70,000 – 90,000 / year
Industry General
Company Microsoft
Valid Until 2026-09-11

šŸ“Ø How to Apply

Submit your updated CV and a brief cover letter to Microsoft. Applications are reviewed on a rolling basis. Only shortlisted candidates will be contacted within 2 weeks of applying.

Back to blog