Data Engineer

Do you have a passion for big data, analytics, insights, and technology? Do you want to be part of a team that enables end-to-end visibility, insights, and optimization, while doing good in the world? The Central Fraud Risk and Abuse (CFAR) organization is looking for a talented Data Engineer professional who wants to get their hands on large scale and complex data landscape, with deep knowledge of data architecture and management, and distributed systems, who is interested in working alongside Software Engineers to drive business impact. The Data Services team is leveraging data and modeling in new ways to increase visibility and transparency, improve insights and decisions, and optimize service levels, costs and customer experience.

You will be joining a great team of awesome Data Engineers that move fast and innovate. You will help us build optimized data pipelines to scale from hundreds of millions of events per day to billions.  If your toolbox includes proficiencies in Big Data, Azure Data Factory, Cloud Data Architecture, Data analytics and reporting, Synapse, Data Warehouse, SQL and MS Fabric we would love to apply your data expertise to have real world impact.

Responsibilities

• Design, develop, and maintain data pipelines and models for real-time and batch ingestion, analysis, reporting, optimization, data collection at scale and reusable
• Design and develop application components and services to support data related processes, presentation, and consumption.
• Considers testability, monitoring, reliability, and maintainability to develop solutions for quality validation and continuous improvement.
• Collaborate with project managers, engineers, and business stakeholders to understand business and technical requirements, plan and execute projects, and communicate status, risks and issues.
• Perform root cause analysis of system and data issues and develop solutions as required.
• Use large data sets to provide insight into business and functional issues while improving data reliability, efficiency, and quality.

Qualifications

Required/Minimum Qualifications:

• 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 work.
  • OR 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, or data engineering work
  • OR equivalent experience.
• 2+ years of experience in writing queries using SQL, KQL, Scope script.
• 2+ years of experience in developing solutions and implementing MS Fabric. 
• 2+ years of experience with data cloud computing technologies such as – Azure Synapse, Azure Data Factory, SQL, Azure Data Explorer.

Preferred/Additional Qualifications:

• Microsoft Certified: Fabric Data Engineer Associate
• Experience building and optimizing large-scale data processing, integration and storage.
• Excellent analytical skills with a systematic and structured approach to software and data design.
• Experience with extracting and handling data with REST APIs, messaging and event technologies.
• 2+ years of experience in data engineering with proven coding and debugging skills in C#, Python, SQL, Spark, Scala.
• 2+ years of experience in developing solutions with Microsoft Power Platform, including Power BI, Fabric, Power Automate & M365 Dataverse.

Data Engineering IC3 - The typical base pay range for this role across the U.S. is USD $98,300 - $193,200 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 $127,200 - $208,800 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

Microsoft will accept applications for the role until March 12, 2025

Understanding and experience implementing Data Privacy and Security controls to protect the data.

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances.  We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request via the Accommodation request form.

Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.