Microsoft

Software Engineer II - Finance Data & Experiences

Microsoft$102K — $202K *
Finance & Insurance
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's Degree in Computer Science or related field, or equivalent experience, with 2+ years in technical engineering and coding in languages like C, C++, C#, Java, JavaScript, or Python.
  • Preferred: Master’s Degree in Computer Science or related field with 3+ years of relevant experience, or equivalent qualifications with further experience in technical engineering.
  • Experience with cloud-scale data platforms and data warehousing architectures.
  • Proficiency in ETL/ELT processes, data pipeline design, and orchestration.
  • Familiarity with Azure data technologies and analytics platforms.

Responsibilities

  • Design, build, test, and maintain reliable data pipelines and services for analytics and product support.
  • Collaborate with stakeholders in various departments to translate business requirements into technical deliverables.
  • Develop code and data processing logic, emphasizing extensibility and maintainability.
  • Explore design options for data solutions, documenting trade-offs and incorporating feedback from peers and teams.
  • Create data quality checks and monitoring systems to enhance trust in data assets.
  • Participate in code reviews to ensure compliance with team standards and best practices.
  • Contribute to secure data solutions by applying best practices for privacy and security in data handling.

Benefits

  • Comprehensive benefits package including health insurance and retirement plans.
  • Opportunities for professional development and growth.
  • Flexible work arrangements and a supportive company culture.
Full Job Description
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.

About Microsoft

Microsoft is an American multinational corporation that develops, manufactures, licenses, supports, and sells a range of software products and services. Microsoft’s devices and consumer (D&C) licensing segment licenses the Windows operating system and related software, Microsoft Office for consumers, and the Windows Phone operating system. The company’s computing and gaming hardware segment provides Xbox gaming and entertainment consoles and accessories, second-party and third-party video games, and Xbox Live subscriptions; surface devices and accessories; and Microsoft PC accessories. Its phone hardware segment offers Lumia smartphones and other non-Lumia phones. Its D&C segment provides Windows Store, Xbox Live transactions, and Windows phone store; search advertising; display advertising; Office 365 Home and Office 365 Personal; first-party video games; and other consumer products and services as well as operating retail stores. Microsoft’s commercial licensing segments license server products, including Windows Server, Microsoft SQL Server, Visual Studio, System Center, and related Client Access Licenses (CALs); Windows Embedded; Windows operating system; Microsoft Office for business, including Office, Exchange, SharePoint, Lync, and related CALs; Microsoft Dynamics business solutions; and Skype. Its commercial segment offers enterprise services, including premier support services and Microsoft consulting services; commercial cloud comprising Office 365 Commercial, other Microsoft Office online offerings, Dynamics CRM Online, and Microsoft Azure; and other commercial products and online services. The company markets and distributes its products through original equipment manufacturers, distributors, and resellers, as well as online.

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Learn more about Microsoft
Size
181,000 employees
Market Cap
$1,762.4 billion
Industry
Net Income
$51.3 billion
Founded
1975
5 Year Trend
+15.5%
Revenue
$153.2 billion
NASDAQ

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