FULL_TIME
2-5
Data Engineer II
11/22/2025
Develop services and APIs that expose curated datasets and features to downstream applications. Harden security and networking for data workloads while automating and productizing processes.
Working Hours
40 hours/week
Company Size
10,001+ employees
Language
English
Visa Sponsorship
No
About The Company
Every company has a mission. What's ours? To empower every person and every organization to achieve more. We believe technology can and should be a force for good and that meaningful innovation contributes to a brighter world in the future and today. Our culture doesn’t just encourage curiosity; it embraces it. Each day we make progress together by showing up as our authentic selves. We show up with a learn-it-all mentality. We show up cheering on others, knowing their success doesn't diminish our own. We show up every day open to learning our own biases, changing our behavior, and inviting in differences. Because impact matters.
Microsoft operates in 190 countries and is made up of approximately 228,000 passionate employees worldwide.
About the Role
- Develop services and APIs that expose curated datasets and features to downstream applications and ML/analytics scenarios; contribute to backend components, testing, and performance tuning. - Harden security and networking for data workloads (e.g., private endpoints, VNet/VPN integration, rolebased access, key management), partnering with security and networking teams. - Automate and productize: apply DevOps/DataOps (GitHub/Azure DevOps, CI/CD, IaC such as Bicep/Terraform) to deliver reliable releases, repeatable environments, and costefficient operations. - Collaborate & document: write design docs, review code, and work crossfunctionally with PMs, data scientists, and stakeholders. - 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 experience in business analytics, data science, software development, data modeling, or data engineering - OR equivalent experience. - 1+ year(s) experience with data governance, data compliance and/or data security. - 3-5+ years building and operating data platforms/services at scale (batch + streaming), including cost management and observability (e.g., Azure Monitor/Log Analytics/Azure Data Explorer). - Experience developing backend services/APIs (REST/gRPC), eventdriven patterns, and containerization (Docker/Kubernetes). - Hands on experience with lakehouse (e.g., Delta/Parquet) and warehouse paradigms; dimensional/semantic modeling; BI enablement (e.g., Power BI/Fabric DW). - IaC (Bicep/Terraform), pipeline orchestration (Fabric Data Factory/Synapse/ADF), testing frameworks (unit/integration/data quality).
Key Skills
Data EngineeringAPIsDevOpsDataOpsSecurityNetworkingAutomationCollaborationData GovernanceData ComplianceData SecurityData PlatformsBackend ServicesContainerizationLakehouseWarehouse ParadigmsBI Enablement
Categories
TechnologyData & AnalyticsSoftware
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