The Role
Design, build, test, and maintain scalable data pipelines, transformations, services, and automation supporting finance reporting, analytics, AI, and product experiences. Collaborate cross-functionally to translate requirements into technical deliverables. Improve data quality, monitoring, telemetry, security, privacy, reliability, and maintainability through engineering practices, testing, reviews, and secure-by-design solutions. Use AI tools to enhance software development productivity and supportability.
Summary Generated by Built In
Overview
Responsibilities
Qualifications
Are you passionate about AI, data, and transformative user experiences? Do you bring energy, curiosity, and a sense of ownership to your work?
The Finance Data & Experiences (FD&E) organization is on a mission to redefine how Microsoft measures, monitors, and optimizes its global business, and we’re looking for top talent to join us. This is a unique opportunity to lead with bold ideas, apply cutting-edge technology, and work across Finance, Sales, Marketing, Business Operations, and Product Engineering to deliver high-impact business solutions. The right candidate will thrive in fast-paced, cross-functional environments, bring fresh thinking to complex problems, and be eager to learn, take ownership of end-to-end processes, and deliver outcomes.
At FD&E, you will help build reliable, scalable, and secure data solutions that power decision-making, business insights, automation, and AI-driven experiences. You will work across data engineering and software engineering disciplines, contributing to data pipelines, data platforms, services, analytics products, and engineering systems that support Microsoft’s global business.
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.
Responsibilities
- Design, build, test, and maintain reliable data pipelines, data transformations, and data services that support business reporting, analytics, AI, and product experiences.
- Partner with stakeholders across Finance, Sales, Marketing, Business Operations, and Product Engineering to understand requirements and translate them into clear, incremental technical deliverables.
- Develop and maintain code, data processing logic, and automation using modern engineering practices, with a focus on extensibility, maintainability, reliability, and testability.
- Explore design options for data and software solutions, document tradeoffs, and incorporate feedback from more experienced engineers and partner teams.
- Build and improve data quality checks, validation, monitoring, and telemetry to detect issues early and improve trust in business-critical data assets.
- Participate in code reviews and data pipeline reviews to ensure solutions meet team standards, include appropriate test coverage, and consider diagnosability, reliability, privacy, security, and maintainability.
- Contribute to secure-by-design data solutions by applying privacy, compliance, access control, and security best practices for data movement, storage, and consumption.
- Use AI tools and disciplined engineering practices to improve productivity, quality, documentation, testing, and supportability across the software development lifecycle.
Qualifications
Required Qualifications
- Bachelor's Degree in Computer Science or related technical field AND 2+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.
Preferred Qualifications
- Master's Degree in Computer Science or related technical field AND 3+ 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 5+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
- OR equivalent experience.
- Experience with cloud-scale data platforms, distributed data processing, data warehousing, lakehouse architectures, or modern analytics platforms.
- Experience designing, building, testing, and maintaining data pipelines, data processing jobs, data models, APIs, services, or related engineering systems.
- Experience with ETL/ELT processes, orchestration, telemetry, monitoring, CI/CD, automated testing, and operational support for production systems.
- Experience building solutions that enable AI, machine learning, business intelligence, reporting, experimentation, or data-driven decision making.
- Familiarity with Azure data technologies and analytics platforms such as Microsoft Fabric, Synapse Analytics, Databricks, Spark, Cosmos DB, SQL, Kusto, or similar technologies.
- Proficiency in SQL and at least one general-purpose programming language such as Python, C#, Java, or Scala.
- Understanding of software engineering fundamentals, including data structures, algorithms, source control, testing, debugging, and code reviews.
- Understanding of data quality, reliability, privacy, security, and governance considerations for production environments.
- Demonstrated ability to collaborate effectively across disciplines, communicate clearly, and learn quickly in a fast-paced environment.
- Demonstrated curiosity, ownership, and comfort working through ambiguity while delivering results with guidance from engineers.
Software Engineering IC3 - The typical base pay range for this role across the U.S. is USD $102,100 - $202,200 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 $133,800 - $219,200 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 a related technical field and 2+ years of technical engineering experience with coding, or equivalent experience
- Master's degree in Computer Science or a related technical field and 3+ years of technical engineering experience with coding, or equivalent experience
- Bachelor's degree in Computer Science or a related technical field and 5+ years of technical engineering experience with coding, or equivalent experience
- Experience with cloud-scale data platforms, distributed data processing, data warehousing, lakehouse architectures, or modern analytics platforms
- Experience designing, building, testing, and maintaining data pipelines, data processing jobs, data models, APIs, services, or related engineering systems
- Experience with ETL/ELT processes, orchestration, telemetry, monitoring, CI/CD, automated testing, and operational support for production systems
- Experience building solutions supporting AI, machine learning, business intelligence, reporting, experimentation, or data-driven decision-making
- Familiarity with Azure data technologies and analytics platforms such as Microsoft Fabric, Synapse Analytics, Databricks, Spark, Cosmos DB, SQL, Kusto, or similar technologies
- Proficiency in SQL and at least one general-purpose programming language such as Python, C#, Java, or Scala
- Understanding of software engineering fundamentals, including data structures, algorithms, source control, testing, debugging, and code reviews
- Understanding of data quality, reliability, privacy, security, and governance considerations for production environments
- Ability to collaborate effectively across disciplines, communicate clearly, and learn quickly in a fast-paced environment
- Curiosity, ownership, and comfort working through ambiguity while delivering results with guidance from engineers
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.
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The Company
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.
