Data Engineer II

Microsoft • Redmond, WA

88d • $100,600 - $199,000

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.

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), event-driven 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, role-based 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 cost-efficient operations.
• Collaborate & document: write design docs, review code, and work cross-functionally with PMs, data scientists, and stakeholders.

Benefits

• Industry leading healthcare
• Educational resources
• Discounts on products and services
• Savings and investments
• Maternity and paternity leave
• Generous time away
• Giving programs
• Opportunities to network and connect

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Industry: Professional, Scientific, and Technical Services
• Education Level: Master's degree