Data Engineer II
About The Position
Shape the future of Surface by building the data backbone that powers insights, innovation, and customer delight. The Surface insights and intelligent experiences team drives strategic insights and innovation across Microsoft by transforming complex data into actionable intelligence and customer facing experiences. By connecting data, technology, and business priorities, the team ensures Microsoft stays ahead in delivering value at global scale. As a Data Engineer II in the data services team, you will design and build scalable data pipelines, optimize data flows, and ensure the integrity and availability of mission-critical datasets. You'll partner closely with data science, analytics, product, and engineering teams to transform data and raw telemetry into actionable insights that drive both product innovation and experiences that empower partners and customers. This opportunity will allow you to: - Accelerate your career growth by working on high-impact, global-scale data systems. - Develop deep technical expertise in modern data platforms, cloud services, and big data technologies. - Hone your problem-solving skills by tackling complex challenges in performance, reliability, and data quality. Microsoft's mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
Requirements
- 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.
Nice To Haves
- 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).
Responsibilities
- Design, build, and operate batch and streaming data pipelines that ingest from diverse sources into cloud data platforms (e.g., ADLS Gen2/Microsoft Fabric, Synapse/Azure SQL/Cosmos DB), with strong SLAs and observability.
- 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.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Industry
Publishing Industries
Number of Employees
5,001-10,000 employees
