Software Engineer, Finance Data & Experiences

Technology, Data & Digital · Software & Web Development · Software Engineering · Data Engineering

In short

Are you passionate about AI, data, and transformative user experiences? Microsoft is seeking talented Software Engineers to join their Finance Data & Experiences organization. This remote, full-time role involves designing, building, and maintaining scalable data solutions and services to support global business operations. You will collaborate across teams to deliver high-impact business solutions.

Responsibilities

Design, build, test, and maintain reliable data pipelines, data transformations, and data services.
Partner with stakeholders across Finance, Sales, Marketing, Business Operations, and Product Engineering to understand requirements.
Develop and maintain code, data processing logic, and automation using modern engineering practices.
Explore design options for data and software solutions and document tradeoffs.
Build and improve data quality checks, validation, monitoring, and telemetry.
Participate in code reviews and data pipeline reviews.
Contribute to secure-by-design data solutions by applying privacy, compliance, access control, and security best practices.

Requirements

Bachelor's Degree in Computer Science, or related technical discipline with proven experience coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.

Desired 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.

Benefits

This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.

Skills

PythonC#JavaJavaScriptC++CSQLAzureMicrosoft FabricSynapse AnalyticsDatabricksSparkCosmos DBKustoScala

#AI#Data Engineering#Software Engineering#Finance#Analytics#Machine Learning#Business Intelligence#Cloud#Azure

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