OverviewIn the Customer Service & Support (CSS) team, we are looking for a Data Pipeline Engineer with a passion for building reliable, scalable data platforms that support business intelligence, analytics, and data science initiatives. In this role, you will design, develop, and operate data pipelines that ingest, transform, and deliver high-quality data across modern cloud environments. You will collaborate with data engineers, analysts, and business stakeholders to enable data-driven decision making, while ensuring data quality, security, performance, and operational excellence. This opportunity will allow you to deepen your expertise in cloud data platforms, data engineering, and large-scale analytics solutions while contributing to Microsoft's customer success mission.
ResponsibilitiesData Pipeline Development- Design, develop, and maintain batch and real-time data pipelines for ingestion, transformation, and delivery of enterprise data.
- Build scalable ETL/ELT solutions with monitoring, alerting, and data quality controls.
Data Platform Operations- Ensure data pipelines are reliable, performant, and cost-efficient.
- Troubleshoot and resolve pipeline failures, performance bottlenecks, and data quality issues.
Data Architecture and Modeling- Design and optimize data models, data warehouses, lakehouses, and storage solutions to support analytics and reporting requirements.
- Support migration of legacy data environments to modern cloud-based architectures.
Security and Compliance- Apply data security recommended approaches and ensure compliance with organizational policies and governance requirements.
- Protect enterprise data assets and support secure operational processes.
Collaboration- Partner with data scientists, analysts, engineers, and business stakeholders to deliver trusted and well-documented datasets.
QualificationsRequired Qualifications:Bachelor's Degree in Computer Science, Information Technology, Engineering, Data Science, or related technical field AND 3+ years of technical support, technical consulting, data engineering, or information technology experience
o OR 5+ years of technical support, data engineering, technical consulting experience, or information technology experience
o OR equivalent experience.
- Strong SQL and proficiency in a programming language such as Python or Scala.
- Experience building ETL/ELT pipelines and data modeling for analytics.
- Familiarity with orchestration tools (e.g., Airflow, Azure Data Factory) and cloud data platforms.
Additional Required Qualifications:- Experience with Microsoft Fabric, especially migrations of existing warehouses into Fabric.
- Experience with big-data and streaming tools (e.g., Spark, Kafka).
- Experience with cloud data warehouses (e.g., Synapse, OneLake, Lakehouse).
- Knowledge of data quality frameworks, CI/CD, and infrastructure-as-code.
- Experinece with Near Real Time (NRT) event streams like Azure Event Hubs + Azure Synapse.
- Experience with Azure SQL Managed Instances, Power BI Gateways, and DataFlows
Ability to meet Microsoft, customer and / or government security screening requirements are required for this role. These requirements include, but are not limited to the following specialized security screenings: Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud Background Check upon hire / transfer and every two years thereafter.
Technical Support Engineering IC4 - The typical base pay range for this role across the U.S. is USD $86,100 - $169,800 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $113,300 - $187,400 per year.
Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay
This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.
