Microsoft · 20 hours ago
Data Analytics Engineer
United States, Washington, Redmond
Full-time
Hybrid
Mid, Senior Level
$120K/yr - $235K/yr
2+ years expMicrosoft is a leading technology company that powers cloud services through its Cloud Operations and Innovation team. They are seeking a Data Analytics Engineer to analyze complex business problems and generate actionable insights for datacenter operations and supply chain.
Agentic AIApplication Performance ManagementArtificial Intelligence (AI)Business DevelopmentDevOpsInformation ServicesInformation TechnologyManagement Information SystemsNetwork SecuritySoftware
Responsibilities
Develop and build datasets in collaboration with other data engineers, analysts, and scientists that support AI/ML pipelines, data cataloging, and a federated reporting ecosystem. Design and implement statistical and machine learning methods to measure business impact and uncover actionable insights proactively
Architect and implement scalable integration solutions used to drive warehouse and datacenter operations
Extract raw data from multiple sources using query languages, tools, or machine learning algorithms. Ensure data accuracy, validity, and reliability. Contribute to code reviews and drive the business case for advanced orchestration techniques
Develop and use advanced techniques to transform raw data into compatible formats for downstream sources. Expand the application and reusability of software and tools. Drive efficiencies in data extraction to ensure quality and completeness
Collaborate with stakeholders to recommend data requirements. Partner with business teams to determine data costs, access, usage, and availability. Negotiate agreements with partners and system owners for project delivery and data ownership
Design data models that meet business requirements and translate business needs into design specifications. Lead conversations with stakeholders to improve data models and schemas. Develop solutions considering analytical requirements and compute/storage consumption
Drive acquisition, management, and analysis of large-scale datasets to inform the business of the highest priority opportunities to target (e.g. – cost savings, operational efficiency, availability impact)
Ensure effective performance monitoring across data pipelines. Build automation into data visualizations and aggregations to monitor data quality and pipeline health. Develop troubleshooting guides and operating procedures for addressing complex problems flagged by automated testing
Qualification
Required
Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 2+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 1+ year(s) data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) or consulting experience
OR Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field
OR equivalent experience
Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include, but are not limited to the following specialized security screenings: Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter
Preferred
Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 3+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
3+ years designing data models for operations and supply chains in a distributed data environment
2+ years of writing SQL/KQL, MS Fabric, or equivalent data transformation tools
1+ years experience building and/or evaluating generative AI based solutions
Ability to translate complex business insights into clear and actionable recommendations for business teams
Familiarity with building and analyzing core business metrics
Understanding of database systems with the ability to independently acquire, transform, and store data
Proficient in designing and implementing Generative AI pipelines (e.g., RAG systems, domain/task-specific finetuning)
Company
Microsoft
Microsoft is a software corporation that develops, manufactures, licenses, supports, and sells a range of software products and services.
10001+ employees
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)
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2025 (9192)
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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
Satya Nadella
Chairman and CEO
Vukani Mngxati
Chief Executive Officer - Microsft South Africa
Recent News
2026-01-15
2026-01-14
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