Responsibilities
- 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.
- Coach and mentor peers and emerging team members while advocating for best practices.
Qualifications
Required Qualifications:
- Bachelor's Degree in Computer Science or related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
- OR equivalent experience.
Other Requirements:
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.
Preferred Qualifications:
- Master's Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
- OR Bachelor's Degree in Computer Science or related technical field
- AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
- OR equivalent experience.
- 3+ years experience in business analytics, data science, software development, data modeling or data engineering work
- 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.
- Excellent problem solving skills and the ability to work independently and as part of a team.
- Solid communication skills.
- Familiarity with 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).
#MicrosoftAI
Software Engineering IC4 - The typical base pay range for this role across the U.S. is USD $119,800 - $234,700 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 $160,200 - $261,000 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
This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.
Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.
Skills Required
- Bachelor's Degree in Computer Science or related technical field AND 4+ years technical engineering experience coding in languages such as C, C++, C#, Java, JavaScript, or Python OR equivalent experience.
- Ability to meet Microsoft, customer and/or government security screening requirements, including passing the Microsoft Cloud background check upon hire/transfer and every two years.
- 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 (including Azure).
- 3+ years experience in business analytics, data science, software development, data modeling or data engineering.
- 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).
- Master's Degree in Computer Science or related technical field and/or additional years of technical engineering experience (per preferred qualification alternatives).
- Strong problem solving, communication skills, and ability to mentor teammates.
Microsoft Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Microsoft and has not been reviewed or approved by Microsoft.
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Fair & Transparent Compensation — Pay is presented as broadly competitive overall, with clear role/level/location variation and an emphasis on using posted ranges and band information for apples-to-apples comparisons.
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Retirement Support — Retirement benefits are described as a standout, highlighted by a strong 401(k) match structure and immediate vesting, plus additional plan features for tax-advantaged saving.
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Parental & Family Support — Family-oriented benefits are portrayed as a meaningful strength, with substantial paid parental leave and added supports like back-up care and adoption/surrogacy assistance.
Microsoft Insights
What We Do
At Microsoft, our mission is to empower every person and every organization on the planet to achieve more. Our mission is grounded in both the world in which we live and the future we strive to create. Today, we live in a mobile-first, cloud-first world, and the transformation we are driving across our businesses is designed to enable Microsoft and our customers to thrive in this world.
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