
Bachelor’s Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field, Graduate Pass
Minimum 4+ years (3+ years with Master’s), Big Data, Software Development, Data Engineering
Data Engineering, Big Data Platforms, Azure Data Stack (Synapse, Data Bricks, Data Factory, Cosmos, Fabric), Data Modeling, DAX, Agile/Scrum, Communication, Problem-Solving
Strong technical background, ability to lead data projects, experience with secure development practices, flexible and collaborative mindset
Senior Data Engineer Job – Microsoft
The Microsoft Senior Data Engineer job in Redmond means working with big data and using special tools like Azure to make smart data systems. It’s a great chance for good data engineers to lead and create new ideas.
Job Details Table
| Field | Information |
|---|---|
| Company Name | Microsoft |
| Post Name | Senior Data Engineer – Fabric Data and Semantic Models |
| Location | Redmond, Washington, United States |
| Employment Type | Full-Time |
| Work Type | Up to 50% Work From Home |
| Travel | 0–25% |
| Date Posted | Aug 27, 2025 |
| Job Number | 1858818 |
| Role Type | Individual Contributor |
| Profession | Software Engineering |
| Discipline | Data Engineering |
| Standard Salary | USD $117,200 – $229,200 per year (Base Pay Range in U.S.) |
Job Overview
The candidates who are interested in joining Microsoft as Senior Data Engineer – Fabric Data and Semantic Models are eligible to apply.
Here, Microsoft is inviting candidates for a Full-Time Work From Home (50%) job for this post.
Candidates can apply directly from the official Microsoft site.
This is the best opportunity for those candidates who have knowledge of data engineering, semantic modeling, and building large-scale data platforms.
Key Responsibilities
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Lead and manage data acquisition, ETL processing, and product development for marketing data products.
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Build semantic models using Microsoft Fabric Platform and develop metrics with DAX calculations.
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Handle backlog of features and deliver them through vendor teams.
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Own data architecture, data modeling, design, and delivery for data products.
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Work with Technical PMs, stakeholders, Analysts, and Data Scientists for the best data strategy.
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Create data quality checks and monitoring for reliability.
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Collaborate with Developers, Data Architects, and Operations teams for strong solutions.
Required Skills
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Strong knowledge of Data Engineering and Big Data platforms.
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Experience with Azure Data Stack (Synapse, Data Factory, Data Bricks, Cosmos, Fabric).
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Skills in data modeling, architecture, and pipeline building.
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Knowledge of Agile/Scrum methods and tools (ADO or similar).
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Strong communication, problem-solving, and teamwork skills.
Preferred Qualifications
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Bachelor’s Degree in Computer Science, Math, Software Engineering, or related field, Graduate Pass.
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4+ years of experience in data engineering, analytics, or software development.
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Experience leading teams in Big Data platforms.
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Familiarity with secure development practices and privacy-compliant solutions.
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2+ years of managing execution through vendor teams.
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Experience in digital media, marketing, or web analytics is a plus.
Salary
The typical base pay for this role in the United States is USD $117,200 – $229,200 per year.
In San Francisco Bay Area and New York City, it is USD $153,600 – $250,200 per year.



