Software Engineer
Content + Source + Freshness • 15 Dec 2025 • 95% confidence
Offer value
The role offers solid growth opportunities for early-career software engineers, competitive salary, and engagement in impactful projects aligning with Microsoft’s mission.
- Competitive salary range: $84,200–$165,200/year.
- Excellent growth opportunities in software engineering.
- Flexible work environment with hybrid options.
Pros
- Strong potential for career development in software engineering.
- Engagement with advanced data technologies.
- Flexible hybrid work arrangement.
Cons
- Limited remote work days could be a drawback for some applicants.
- Expectations for continuous learning and adaptation to new technologies.
- Initial roles may have a steeper learning curve.
Who it's for
Early-career • Hybrid with some in-office days
Good fit
- Aspiring software engineers and recent graduates.
- Individuals passionate about data and software development.
- Candidates looking to grow within a leading tech company.
Not recommended for
- Those lacking programming experience.
- Applicants who prefer fully remote work settings.
- Candidates unenamored with collaborative team settings.
Motivation fit
Key skills
About the job
Software Engineer
Redmond, Washington, United States
Save
Share job
Overview
We are looking for a Software Development Engineer (SDE) who is eager to learn, collaborate, and contribute to the development of scalable data solutions. This role is ideal for early-career engineers who want to work with modern data technologies and gain experience in building systems that support strategic insights across Microsoft 365.
Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
Qualifications
Required Qualifications:
- Bachelor's Degree in Computer Science, or related technical discipline with proven experience coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
- OR equivalent experience.
- Strong problem-solving skills and a willingness to learn.
Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings:
- Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.
- Internship or academic project experience in software development or data engineering.
- Exposure to cloud platforms and big data technologies.
- Familiarity with scripting languages such as Python, PowerShell, or JavaScript.
Software Engineering IC2 - The typical base pay range for this role across the U.S. is USD $84,200 - $165,200 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $109,000 - $180,400 per year. Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: https://careers.microsoft.com/us/en/us-corporate-pay
• Single reqs: Microsoft will accept applications for the role until November 14, 2025
• Multi reqs: Microsoft will accept applications and processes offers for these roles on an ongoing basis.
#DPG
Responsibilities
- Collaborate with team members to design and implement data pipelines and services.
- Write clean, maintainable, and well-tested code in languages such as C#, Java, or C++.
- Use scripting languages (e.g., Python, PowerShell) to automate data processing and operational tasks.
- Participate in code reviews, design discussions, and team planning activities.
- Learn and apply best practices in software development and data engineering.
