Note: The job is a remote job and is open to candidates in USA. Microsoft is a leading technology company focused on delivering data-driven solutions. The Data Engineer II role involves building and maintaining ETL pipelines, designing data-sharing frameworks, and contributing to data governance and analytics solutions across various data sources.

Responsibilities

• Build and maintain production ETL pipelines ingesting data from 1st-party, 2nd-party, partner, and 3rd-party sources
• Design and implement data-sharing patterns and access controls (RBAC) across organizational boundaries
• Contribute to data mesh patterns, including data contracts, domain-owned datasets, and product-style publishing
• Develop and maintain data governance solutions, including lineage, cataloging, data quality, and compliance
• Design, build, and operate REST APIs and backend services that expose WISE datasets as data products
• Define and manage API contracts, including schema design, versioning, and lifecycle management
• Build serving layers supporting low-latency, request-response data access
• Design and deliver Power BI semantic models, curated datasets, and reporting solutions
• Build and support self-serve analytics experiences, including discoverability and performance optimization
• Instrument pipelines and services through observability practices (metrics, logs, traces)
• Partner with Privacy, Security, and platform teams to ensure data protection and compliance
• Contribute to AI-ready data patterns, including pipelines, APIs, and reporting systems designed for agentic or Copilot-based consumption
• Participate in code reviews, design discussions, documentation, and on-call rotation
• Embody our Culture and Values

Skills

• Master's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 1+ year(s) experience in business analytics, data science, software development, data modeling, or data engineering
• OR Bachelor's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 2+ years of experience in business analytics, data science, software development, data modeling, or data engineering
• OR equivalent experience
• Ability to meet Microsoft, customer, and/or government security screening requirements may be required for this role. These requirements include, but are not limited to, the following specialized security screenings: Microsoft Cloud Background Check — this position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter
• Experience designing and building production data solutions including ETL/data pipelines, backend services, or BI/reporting systems
• Experience with PySpark, SQL, and Python, including data modeling, transformation, and pipeline development
• Experience building or supporting REST APIs or data services, including schema design, versioning, and operations
• Experience delivering Power BI or semantic modeling solutions, including DAX, Power Query (M), or curated datasets
• Experience designing analytics or reporting with attention to performance, usability, and stakeholder consumption
• Experience with data governance, data sharing, and access control (RBAC), including lineage, data quality, or compliance practices
• Familiarity with data mesh, data products, or Data-as-a-Service concepts
• Experience with Microsoft Azure or modern data platforms, including a combination of: Azure Data Factory, App Service, Functions, AKS, API Management, Microsoft Fabric (OneLake, Direct Lake), Synapse, Databricks, Azure SQL, or Cosmos DB
• Experience with API standards and integration, including OpenAPI, Swagger, gRPC, GraphQL, or Microsoft Entra ID (Azure Active Directory)
• Familiarity working in enterprise-scale data environments with diverse data sources
• Experience contributing to data platforms, reporting hubs, or insights portals
• Knowledge of privacy, security, or compliance practices, and interest in AI-ready data platforms (e.g., Copilot or agentic consumption patterns)

Benefits

• Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:

Company Overview

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