Role at a glance
- Salary
- $102.1K – $202.2K/yr
- Location
- Redmond, Washington, United States
- Work arrangement
- On-site
- Employment
- Full-time
- Experience
- 2+ years technical engineering experience with coding
- Education
- Bachelor's Degree in Computer Science or related technical field
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Role Summary
The Finance Data & Experiences organization builds reliable, scalable, and secure data solutions that support Microsoft’s global business, including reporting, analytics, automation, AI-driven experiences, and product engineering. This role contributes across data engineering and software engineering to deliver business-critical data pipelines, platforms, services, and analytics products in collaboration with cross-functional stakeholders.
What You'll Do
- Design, build, test, and maintain data pipelines, data transformations, and data services.
- Partner with stakeholders across Finance, Sales, Marketing, Business Operations, and Product Engineering to translate requirements into...
- Develop and maintain code, data processing logic, and automation using modern engineering practices.
- Build and improve data quality checks, validation, monitoring, and telemetry.
- Participate in code reviews and data pipeline reviews, including consideration of test coverage, diagnosability, reliability, privacy,...
- Apply privacy, compliance, access control, and security best practices to data movement, storage, and consumption.
Generated from the employer's posting. Verify important details before applying.
View full postingQualifications
Bachelor's degree in Computer Science or a related technical field and 2+ years of technical engineering experience with coding, or equivalent experience. Required coding languages include C, C++, C#, Java, JavaScript, or Python.
Required
- Bachelor's Degree in Computer Science or related technical field
- 2+ years technical engineering experience with coding
- Coding in languages including C, C++, C#, Java, JavaScript, or Python
- Equivalent experience
Preferred
- Master's Degree in Computer Science or related technical field
- 3+ years technical engineering experience with coding
- 5+ years technical engineering experience with coding
- Experience with cloud-scale data platforms, distributed data processing, data warehousing, lakehouse architectures, or modern analytics...
- Experience designing, building, testing, and maintaining data pipelines, data processing jobs, data models, APIs, services, or related...
- Experience with ETL/ELT processes, orchestration, telemetry, monitoring, CI/CD, automated testing, and operational support for...
- Experience building solutions that enable AI, machine learning, business intelligence, reporting, experimentation, or data-driven...
- Familiarity with Azure data technologies and analytics platforms such as Microsoft Fabric, Synapse Analytics, Databricks, Spark, Cosmos...
Original job description
Content provided by the employer
Original job description
Content provided by the employer
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
- 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.
- 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.
About the company
Microsoft
Large Enterprise
Microsoft is a global technology leader that empowers individuals and organizations to achieve more through innovative software, services, and devices. Founded in 1975, the company is best known for its flagship products like the Windows operating system and Microsoft Office suite. In addition to personal computing, Microsoft is a leader in cloud computing with its Azure platform, providing a range of solutions for businesses to enhance productivity and efficiency. With a strong commitment to sustainability and accessibility, Microsoft continues to drive technological advancements that shape the future of work and learning.
Microsoft is a global technology leader that empowers individuals and organizations to achieve more through innovative software, services, and devices. Founded in 1975, the company is best known for its flagship products like the Windows operating system and Microsoft Office suite. In addition to personal computing, Microsoft is a leader in cloud computing with its Azure platform, providing a range of solutions for businesses to enhance productivity and efficiency. With a strong commitment to sustainability and accessibility, Microsoft continues to drive technological advancements that shape the future of work and learning.