MTS - Data Engineering jobs in United States
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Microsoft · 2 weeks ago

MTS - Data Engineering

Microsoft is a leading technology company, and they are seeking a data engineer to architect and implement the data backbone that powers Copilot for millions of users worldwide. The role involves owning the full data lifecycle, building ETL pipelines, ensuring data quality, and collaborating with cross-functional teams to optimize data systems.

Agentic AIApplication Performance ManagementArtificial Intelligence (AI)Business DevelopmentDevOpsInformation ServicesInformation TechnologyManagement Information SystemsNetwork SecuritySoftware
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Growth Opportunities
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H1B Sponsor Likelynote

Responsibilities

Build, maintain, and enhance data ETL pipelines for processing large-scale data with low latency and high throughput to support Copilot operations
Design and maintain high throughput, low latency experimentation reporting pipelines that enable data scientists and product teams to measure model performance and user engagement
Own data quality initiatives including monitoring, alerting, validation, and remediation processes to ensure data integrity across all downstream systems
Implement robust schema management solutions that enable quick and seamless schema evolution without disrupting downstream consumers
Develop and maintain data infrastructure that supports real-time and batch processing requirements for machine learning model training and inference
Collaborate with ML engineers and data scientists to optimize data access patterns and improve pipeline performance for model evaluation workflows
Design scalable data architectures that can handle growing data volumes and evolving business requirements
Implement comprehensive monitoring and observability solutions for data pipelines, including SLA tracking and automated alerting
Partner with cross-functional teams to understand data requirements and translate them into efficient technical solutions

Qualification

Data EngineeringETL PipelinesApache SparkCloud Data PlatformsPythonData Quality FrameworksReal-time ProcessingData OrchestrationCollaborationProblem Solving

Required

Master'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
OR Bachelor'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 equivalent experience

Preferred

Experience building and maintaining production data pipelines at scale using technologies such as Apache Spark, Kafka, or similar distributed processing frameworks
Experience writing production-quality Python, Scala, or Java code for data processing applications
Experience building and scaling experimentation frameworks
Experience with cloud data platforms (Azure, AWS, or GCP) and their data services
Experience with schema management and data governance practices
Experience with real-time data processing and streaming architectures
Experience with data orchestration frameworks such as Airflow, Prefect, Dagster or similar workflow management systems
Experience with containerization technologies (Docker, Kubernetes) for data pipeline deployment
Demonstrated experience with data quality frameworks and monitoring solutions

Company

Microsoft

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Microsoft is a software corporation that develops, manufactures, licenses, supports, and sells a range of software products and services.

H1B Sponsorship

Microsoft has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (9192)
2024 (9343)
2023 (7677)
2022 (11403)
2021 (7210)
2020 (7852)

Funding

Current Stage
Public Company
Total Funding
$1M
Key Investors
Technology Venture Investors
2022-12-09Post Ipo Equity
1986-03-13IPO
1981-09-01Series Unknown· $1M

Leadership Team

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Satya Nadella
Chairman and CEO
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Vukani Mngxati
Chief Executive Officer - Microsft South Africa
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Company data provided by crunchbase