Microsoft · 8 hours ago
Data Engineer
Microsoft is a global leader in technology, and they are seeking a Data Engineer to join their Customer Experience and Success organization. The role involves designing and implementing scalable data pipelines, collaborating with teams to deliver analytics solutions, and ensuring compliance with data governance standards.
Agentic AIApplication Performance ManagementArtificial Intelligence (AI)Business DevelopmentDevOpsInformation ServicesInformation TechnologyManagement Information SystemsNetwork SecuritySoftware
Responsibilities
Design and implement scalable, secure, and high-performance data pipelines using Azure Data Factory, Databricks, and Spark
Develop optimized ETL/ELT workflows for large-scale data ingestion and transformation
Implement CI/CD for data solutions, automated testing, and monitoring for data quality and reliability
Collaborate with data scientists and product teams to deliver integrated analytics and ML solutions
Ensure compliance with data governance, security, and privacy standards across all data assets
Embody our culture and values
Qualification
Required
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 OR equivalent experience
Ability to meet Microsoft, customer and / or government security screening requirements are required for this role
Preferred
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 enterprise-scale data engineering and architecture in production environment used at enterprise scale
5+ years of demonstrated experience working in a data intensive environment and translating business needs into data requirements (experience with Microsoft Azure stack, SQL, Python, Synapse, Power BI, Fabric, Machine Learning and AI)
Strong proficiency in Python and SQL; experience with Spark/PySpark
Hands-on experience with Azure Data Lake, Synapse, Databricks, Fabric, Data Factory, Cosmos DB
Familiarity with CI/CD, containerization (Docker/Kubernetes), orchestration tools
Knowledge of data governance, security, and performance optimization for large datasets
Attention to detail and commitment to delivering high quality
Initiative and passion for finding solutions to hard problems at scale and operationalizing them
Demonstrated ability to work in ambiguous situations and across organizational boundaries
Company
Microsoft
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 CompanyTotal Funding
$1MKey Investors
Technology Venture Investors
2022-12-09Post Ipo Equity
1986-03-13IPO
1981-09-01Series Unknown· $1M
Leadership Team
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