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Job Details
Posted date: Jun 19, 2026
There have been 19 jobs posted with the title of Data Engineer II all time at Microsoft.There have been 19 Data Engineer II jobs posted in the last month.
Category: Data Engineering
Location: Multiple Locations, Multiple Locations
Employment type: Full-Time
Work location type: 0 days / week in-office – remote
Role: Individual Contributor
Description
OverviewData Engineering is the production engine behind Global Skilling's data-driven decisions. The team delivers a unified, secure, and governed data platform that enables reporting, insights, data products, and downstream consumption across Microsoft.
We are hiring multiple Data Engineer II roles across several focus areas. Each role contributes to a different layer of the WISE data ecosystem — from foundational data pipelines and governance, to Data-as-a-Service products, to reporting and analytics experiences.
Focus Areas:
Data Engineer – Data Platform Foundations Builds and maintains ETL pipelines, data-sharing frameworks, and governance systems across 1st-party internal Microsoft data platforms (e.g., ASN, OCDM, IDEAS, MSSales), 2nd-party (LinkedIn, GitHub), partner (Skillable, Pearson, Credly), and 3rd-party (Pitchbook, Sprinklr, ATLAS) sources. Contributes to data mesh patterns and AI-ready pipelines that are discoverable and consumable by intelligent systems.
Data Engineer – Data-as-a-Service / Backend Services Designs and operates REST APIs and backend services that expose WISE datasets as secure, governed data products. Focus includes API contracts, service layers, and low-latency data consumption for Microsoft engineering teams.
Data Engineer – Reporting & Analytics / BI Engineering Builds the reporting and analytics layer using Power BI, semantic modeling, curated marts, and self-serve capabilities. Delivers stakeholder reporting, contributes to Insights Hub, and enables AI-driven and self-serve insights.
In alignment with our Microsoft values, we are committed to cultivating an inclusive work environment for all employees to positively impact our culture every day. We encourage all candidates to apply, including those who may not feel they meet every preferred qualification — research consistently shows that diverse experience and perspectives strengthen our work.
Responsibilities
Build and maintain production ETL pipelines ingesting data from 1st-party, 2nd-party, partner, and 3rd-party sourcesDesign and implement data-sharing patterns and access controls (RBAC) across organizational boundariesContribute to data mesh patterns, including data contracts, domain-owned datasets, and product-style publishingDevelop and maintain data governance solutions, including lineage, cataloging, data quality, and complianceDesign, build, and operate REST APIs and backend services that expose WISE datasets as data productsDefine and manage API contracts, including schema design, versioning, and lifecycle managementBuild serving layers supporting low-latency, request-response data accessDesign and deliver Power BI semantic models, curated datasets, and reporting solutionsBuild and support self-serve analytics experiences, including discoverability and performance optimizationInstrument pipelines and services through observability practices (metrics, logs, traces)Partner with Privacy, Security, and platform teams to ensure data protection and complianceContribute to AI-ready data patterns, including pipelines, APIs, and reporting systems designed for agentic or Copilot-based consumptionParticipate in code reviews, design discussions, documentation, and on-call rotationEmbody our Culture and Values
Why This Role Matters
At global scale (serving over 1B learners), the platform foundation, data services layer, and reporting experiences together determine whether data is trusted, discoverable, and actionable.
These roles ensure that Global Skilling data can be ingested, governed, exposed, and consumed efficiently — powering decision-making across Microsoft.
Qualifications
Required Qualifications
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 engineeringOR 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 engineeringOR equivalent experienceOther Requirements
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.
Preferred Qualifications
Experience designing and building production data solutions including ETL/data pipelines, backend services, or BI/reporting systemsExperience with PySpark, SQL, and Python, including data modeling, transformation, and pipeline developmentExperience building or supporting REST APIs or data services, including schema design, versioning, and operationsExperience delivering Power BI or semantic modeling solutions, including DAX, Power Query (M), or curated datasetsExperience designing analytics or reporting with attention to performance, usability, and stakeholder consumptionExperience with data governance, data sharing, and access control (RBAC), including lineage, data quality, or compliance practicesFamiliarity with data mesh, data products, or Data-as-a-Service conceptsExperience 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 DBExperience 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 sourcesExperience contributing to data platforms, reporting hubs, or insights portalsKnowledge of privacy, security, or compliance practices, and interest in AI-ready data platforms (e.g., Copilot or agentic consumption patterns)
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.