1 day ago
Redmond, WA, USAMid Level
H1B sponsor
Base Salary
$102k - $219k/yr
Responsibilities
- Design, develop, and operate data platform capabilities using Microsoft Fabric, OneLake, Azure, and related technologies.
- Build reusable frameworks and services for data ingestion, transformation, publishing, and data-product engineering.
- Modernize workloads and data pipelines onto Microsoft Fabric and governed Lakehouse architecture.
- Develop capabilities for data discoverability, metadata management, lineage, quality, health, access, and governance.
- Build metadata-driven and configuration-driven engineering frameworks for onboarding data products.
- Apply AI-assisted and agentic techniques to coding, migration, testing, documentation, metadata generation, and schema mapping.
- Expose trusted data and metadata to AI agents, MCP-based services, ontology-driven experiences, and AI applications.
- Build reusable APIs, microservices, workers, and platform components.
- Develop automated data quality validation, testing, schema enforcement, monitoring, and operational health capabilities.
- Partner with Data Engineering, Platform Engineering, DataOps, Security/Governance, product teams, and Microsoft technology teams.
- Use telemetry, customer feedback, incidents, and usage data to improve platform capabilities.
Requirements
- Bachelor’s degree in Computer Science or a related technical field and 2+ years of technical engineering experience with coding, or equivalent experience.
- Experience with software engineering fundamentals such as data structures, APIs, distributed systems, testing, and production-quality software development.
- Experience with data platforms, data pipelines, distributed data-processing systems, cloud applications, microservices, or event-driven architectures.
- Experience with Microsoft Azure or comparable cloud platforms.
- Experience with modern data technologies such as Microsoft Fabric, OneLake, Lakehouse, Spark, Azure Data Factory, Synapse, Databricks, Cosmos DB, or Azure Data Explorer.
- Experience developing data ingestion, transformation, modeling, or publishing solutions and reusable data-engineering frameworks, APIs, services, or internal platform capabilities.
- Experience with metadata-driven or configuration-driven data platforms and governance technologies such as Microsoft Purview, data catalogs, data lineage, and data classification.
- Experience with Git-based development, automated testing, CI/CD, and modern software-development practices.
- Experience with generative AI, agents, MCP, semantic or ontology models, AI-ready data-product patterns, and AI-assisted data-engineering workflows.
Benefits
- The typical U.S. base pay range is USD $102,100-$202,200 per year, with a different range for specific San Francisco Bay Area and New York City metropolitan locations.
- Certain roles may be eligible for benefits and other compensation.
- The position will remain open for a minimum of 5 days and accepts applications on an ongoing basis until filled.
Tech Stack
Categories
Data Engineering
About Microsoft
Microsoft develops operating systems, productivity software, cloud services, developer tools, and consumer devices for individuals, enterprises, and governments. Its main products include Windows, Microsoft 365, Azure, Visual Studio/GitHub, Xbox, and LinkedIn; revenue comes from software subscriptions and licenses, cloud consumption, hardware sales, and advertising. Founded in 1975 and headquartered in Redmond, Washington, Microsoft is a public company traded on Nasdaq.