Data Engineering M365 Copilot at Microsoft

Redmond, Washington, United States -

Full Time

Start Date

Immediate

Expiry Date

20 Feb, 26

Salary

0.0

Posted On

22 Nov, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Engineering, ETL, ELT, Data Processing, Spark, Azure Data Lake, Synapse, Data Governance, Data Compliance, Data Security, Machine Learning, Feature Engineering, Power BI, Self-Service Analytics, Collaboration, Problem-Solving

Industry

Software Development

Description

Application and Platform Ownership: From the app code to backend web servers and middle-tier services. Partner Enablement: All AI-enabled experiences from partner teams are built on our platform, making us critical to their success. Data and Insights: We manage the data pipeline that supports business insights and operational excellence. End-to-End Delivery: From platform APIs and infrastructure to deployment and monitoring, ensuring reliability and scalability. Data Architecture & Pipeline Development. Design and implement robust ETL/ELT workflows for structured and unstructured data using modern data engineering frameworks. Build distributed data processing systems leveraging technologies such as Spark, Azure Data Lake, and Synapse. Establish standards for data integrity, lineage, and compliance with enterprise security and privacy policies. Develop and maintain low/no-code dashboards and data-driven apps (e.g., Power BI, Vibe-coded apps) to enable self-service analytics for stakeholders. Evaluate emerging technologies and contribute to architectural decisions for next-generation data platforms. Master's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 3+ years 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 4+ years experience in business analytics, data science, software development, data modeling, or data engineering 3+ years experience in building distributed data processing systems leveraging technologies including, but not limited to, Spark, Azure Data Lake, or Synapse. These requirements include but are not limited to the following specialized security screenings: Master's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 6+ years 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 8+ years experience in business analytics, data science, software development, data modeling, or data engineering OR equivalent experience. 2+ years experience with data governance, data compliance and/or data security. 5+ years of experience in data engineering or software development with a focus on large-scale data systems. Proficiency in managing machine learning data pipelines and feature engineering processes. Proficiency in data security, privacy compliance, and governance frameworks. Demonstrate effective communication and collaboration skills in a dynamic, fast-paced environment. Creativity, insightfulness, and sensitivity for a dynamic approach to problem-solving, combined with being motivated and self-driven, are essential. 2+ years experience developing and maintaining low/no-code dashboards and data-driven apps (e.g., Power BI, Vibe-coded apps) to enable self-service analytics for stakeholders.

Responsibilities

The role involves application and platform ownership, managing data pipelines, and ensuring end-to-end delivery of data solutions. Responsibilities also include developing ETL/ELT workflows and maintaining dashboards for self-service analytics.