{"id":4168645,"url":"https://alion.io/job/microsoft-data-engineer-3","title":"Data Engineer","company":{"id":18,"name":"Microsoft","domain":"microsoft.com","url":"https://alion.io/company/microsoft","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Eightfold","truth_index":{"grade":"B","score":84,"open_postings":521,"ghost_share":0.01,"stale_share":0.568,"repost_share":0.05,"time_to_fill_p50_days":30,"computed_at":"2026-11-12T10:38:37Z"}},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":102100,"max":202200,"currency":"USD","period":"year","gross":null,"usd_annual":202200},"salary_estimate":null,"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Azure","optional":false},{"name":"CI/CD","optional":false},{"name":"Dimensional Modeling","optional":false},{"name":"Microsoft Fabric","optional":false},{"name":"pySpark","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"ETL/ELT","optional":true},{"name":"Git","optional":true},{"name":"Power BI","optional":true},{"name":"Python","optional":true}],"status":"live","first_seen_at":"2026-11-06T23:17:22Z","employer_posted_date":"2026-11-12","last_verified_at":"2026-11-12T13:58:40Z","board_verified":true,"closed_at":null,"days_open":5,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":5},"description":"OverviewMCAPS-Core accelerates customer outcomes and business growth. By uniting product, engineering, marketing, sales, customer success, and partners around a common customer mission, we help customers realize value faster and turn innovation into measurable business impact. Through deep technical expertise and differentiated go-to-market execution, we win competitively, capture market share, and scale repeatable growth motions. We differentiate through value creation - delivering world-class, AI-powered customer experiences that accelerate adoption, strengthen loyalty, and create sustainable competitive advantage, driving growth that outpaces the market.\nMCAPS-Core Data & Applied AI (DAAI) is a centralized data and AI organization driving Microsoft's transformation through enterprise data platforms, advanced analytics, AI-powered solutions, automation, and governance. Our mission is to turn data into intelligence and intelligence into action, empowering teams across Microsoft to accelerate decision-making, increase productivity, and deliver exceptional customer outcomes through innovative customer-zero solutions.\nMCAPS-Core DAAI is seeking a Data Engineer to design and build the scalable data foundations, pipelines, and data products that power analytics, AI, and business insights across Microsoft. This role combines strong data engineering and software engineering skills to deliver reliable, high-quality solutions that integrate enterprise data and enable trusted, actionable insights. The ideal candidate is a hands-on engineer who enjoys solving complex data challenges, building reusable and automated solutions, and partnering across engineering, analytics, data science, and product teams to deliver measurable business impact.\nCandidates who live within 50 miles of Microsoft's Redmond campus will be required to work in the office 3 days per week.\nMicrosoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.\nResponsibilities\nDesign, develop, test, and maintain secure, scalable data pipelines and processing solutions supporting UDP and enterprise analytics workloads.\nDevelop data engineering solutions using PySpark, SQL, Spark notebooks, and distributed data processing technologies across Microsoft Fabric and Azure Synapse environments.\nBuild and maintain curated data models and reusable datasets, applying sound dimensional modeling, data transformation, and data architecture practices.\nImplement automated data quality, validation, monitoring, and production support capabilities to ensure reliable and trustworthy data products.\nOptimize data pipelines and processing workloads for performance, scalability, reliability, and efficient resource utilization.\nApply engineering best practices including source control, code reviews, testing, CI/CD, documentation, and maintainable development patterns.\nImplement appropriate security, privacy, access controls, and data governance requirements when processing sensitive enterprise and customer data.\nTroubleshoot data pipeline, transformation, and production issues, performing root-cause analysis and implementing durable fixes.\nPartner with analysts, engineering teams, and business stakeholders to translate reporting and analytics requirements into well-designed data solutions, communicate progress and technical tradeoffs, and resolve data issues.\nContribute to the continuous improvement of the UDP engineering platform by identifying opportunities to simplify pipelines, improve data architecture, increase reuse, and reduce operational complexity.\nOther\nEmbody our culture and values.\nQualifications\nRequired/minimum qualifications\nMaster'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, data modeling, or data engineeringOR 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\nOR equivalent experience.\n\nOther Requirements\nAbility 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.\nAdditional or preferred qualifications\nMaster'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 engineeringOR Bachelor's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 5+ years experience in business analytics, data science, software development, data modeling, or data engineering\nOR equivalent experience.\n\n1+ year(s) experience with data governance, data compliance and/or data security.\n3+ years of experience in data or analytics engineering, building and supporting production data solutions.\n\nExperience developing Apache Spark/PySpark notebooks for large-scale data ingestion, transformation, enrichment, and processing.\n\nExperience with Azure Synapse Analytics or similar distributed data platforms, including secure ETL and data-processing workloads.Proficiency in SQL and dimensional data modeling, transforming complex source data into curated datasets optimized for analytics and Power BI.\n\nExperience building reliable production data pipelines, including validation, error handling, performance optimization, monitoring, and troubleshooting.\n\nAbility to translate business and reporting requirements into scalable data solutions and collaborate across data engineering, BI, analytics, and architecture teams.\n\nHands-on experience with Microsoft Fabric Data Engineering, including Lakehouses, notebooks, Delta tables, OneLake, and SQL analytics endpoints.\n\nExperience designing medallion/lakehouse architectures across raw, curated, and consumption-ready data layers.Understanding of enterprise data security and governance, including identity-based access, environment separation, and handling of sensitive data.\n\nExperience with software engineering and DevOps practices for data solutions, including Git, code reviews, testing, CI/CD, and deployment across development, UAT, and production.\n\nExperience using AI-assisted development tools and reusable AI skills to improve data engineering productivity, code quality, testing, and troubleshooting.\n\nData Engineering IC3 - The typical base pay range for this role across the U.S. is USD $102,100 - $202,200 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 $133,800 - $219,200 per year.\nCertain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:\nhttps://careers.microsoft.com/us/en/us-corporate-pay\nThis position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.\nMicrosoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. 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Docs: https://alion.io/developers"}}