The Job

Software Engineering IC3

Teknik, data och digitalt · Mjukvaru- och webbutveckling · Mjukvaruutveckling · Data engineering · Artificiell intelligens

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I korthet

Microsoft seeks a passionate Software Engineering IC3 to join the Finance Data & Experiences team. This hybrid role focuses on building scalable data solutions, pipelines, and services to support AI, analytics, and business insights using modern engineering practices and cutting-edge technology. The ideal candidate will collaborate across departments to deliver high-impact business solutions.

Ansvarsområden

  • Design, build, test, and maintain reliable data pipelines, data transformations, and data services supporting 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 technical deliverables.
  • Develop and maintain code, data processing logic, and automation using modern engineering practices, focusing on extensibility, maintainability, reliability, and testability.
  • Explore design options for data and software solutions, document tradeoffs, and incorporate feedback from experienced engineers and partner teams.
  • Build and improve data quality checks, validation, monitoring, and telemetry to detect issues early and enhance 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.

Krav

  • 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.

Önskade kvalifikationer

  • 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.

Förmåner

  • 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.
#AI#data#user experiences#Finance#Sales#Marketing#Business Operations#Product Engineering#data pipelines#data platforms#services#analytics#automation#machine learning#business intelligence#reporting#experimentation#data-driven decision making
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Företag

Microsoft

Publicerade jobb

för 4 veckor sedan

Anställningstyp

Heltid

Arbetsform

Hybrid

Erfarenhetsnivå

Mellannivå

Platser

United States

Kvalifikation

Kandidatexamen, Masterexamen

Sökande

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