1 day ago
Base Salary
$120k - $261k/yr
Responsibilities
- Design, build, and own scalable data processing architectures and systems for data and analytics pipelines, dashboards, and metrics.
- Build core datasets and scalable, fault-tolerant batch and streaming pipelines for petabyte-scale data.
- Develop data anomaly detection and data quality checks while optimizing compute, storage, performance, and reliability.
- Process Bing and MSN data to generate real-time insights and support the grounding business.
- Apply data compliance and governance practices to analytical data assets.
- Collaborate with data scientists, product managers, and cross-functional partners on end-to-end data solutions.
- Use AI technologies in coding, testing, data processing, and data validation.
Requirements
- Bachelor's degree in computer science or a related technical field and 4+ years of technical engineering experience, or equivalent experience.
- Coding experience in one or more of C, C++, C#, Java, JavaScript, or Python.
- Hands-on experience with at least one data processing technology such as Spark or Flink and a message queue technology such as Kafka or EventHub.
- Experience with cloud environments such as Azure and data storage technologies such as HDFS or Azure Blob Storage.
- Preferred qualifications include 6+ years of coding experience, 6+ years of backend service development, and 2+ years of batch or streaming data processing at petabyte scale.
- Domain expertise in Spark or Flink, data pipeline performance optimization, AI-assisted data processing or validation, and preferably data compliance or governance.
- Fluent verbal and written English communication skills.
Benefits
- The typical U.S. base pay range is $119,800-$234,700 per year, with a separate San Francisco Bay Area and New York City range of $160,200-$261,000 per year.
- Certain roles may be eligible for benefits and other compensation.
- The position is open for a minimum of 5 days, with applications accepted on an ongoing basis until filled.
Tech Stack
Categories
BackendData 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.