Jobs / Mic***
Data Engineer II
Mic*** · United States
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United States102,100-219,200 USD/yearlyOnsite
Remuneration
102,100-219,200 USD/yearly
Location
United States
Visa sponsorship
Sponsors visa
Job summary
Overview Data 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 Mic***. We are hiring multiple Data Engineer II roles across several focus areas.
Benefits
And other compensation.Find additionalAnd pay information here:Https://careers.microsoft.com/us/en/us-corporate-payThis position will be open for a minimum of 5 days, with applications accepted oMicrosoft is an equal opportunity employer.If you need assistance with religious accommodations and/or a reasonable accommo
Qualifications
- 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.
- 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.
- Required
- OR equivalent experience
- Preferred
- 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
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
Degrees
AssociateBachelorDegreeMaster
Work schedule
On-callRotationShift
Industry
DefenseEnergyManufacturing
Company size
EnterpriseSmb