Data Engineer, AI/ML, Advanced Analytics

Posted 10 days ago

han staffingMinneapolis (MN)

Data Warehousing Specialists Computer Systems Design Services

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About the role

Job ID: 29234807

Reference Number: 26-00923

Title: Data Engineer, AI/ML, Advanced AnalyticsPosted Date: 2026-09-09

Contact: Vishika ChaudharyContact Email: vishikachaudhary@hanstaffing.comContact Phone: (551) 795-0621

Company: HAN Staffing Data Engineer, AI/ML, Advanced AnalyticsMinneapolis, MN - Onsite6-12 Months265571, 265556 Virtusa/Health Care CompanyPosition SummaryWe are seeking a highly skilled Data Engineer to support enterprise AI/ML and Advanced Analytics initiatives by building scalable, reliable, and high-performance data platforms and pipelinesThis role will focus on designing and engineering modern data solutions that enable machine learning, advanced analytics, and AI-driven decision makingThe ideal candidate has strong expertise in data architecture, cloud platforms, large-scale data processing, and data engineering best practicesKey ResponsibilitiesDesign, develop, and maintain scalable data pipelines supporting AI/ML and analytics workloadsBuild and optimize batch and real-time data ingestion frameworksDevelop data integration solutions across multiple internal and external data sourcesImplement data transformation, cleansing, enrichment, and validation processesDesign and maintain modern data lake, lakehouse, and data warehouse architecturesEnsure data quality, integrity, security, and governance standards are metOptimize data processing performance, scalability, and operational efficiencyRequired QualificationsStrong proficiency in Python, SQL, Spark, Scala, or equivalent technologiesExperience building cloud-native data solutions using Azure, AWS, or GCPExperience with ETL/ELT frameworks and large-scale data processingKnowledge of distributed data processing technologies and modern data architecturesExperience with data lake, warehouse, and lakehouse platformsUnderstanding of data governance, security, and data quality practicesStrong collaboration and problem-solving skillsPreferred QualificationsExperience supporting AI/ML platforms and Data Science workloadsFamiliarity with feature stores, MLOps and model deployment pipelinesKey CompetenciesData Engineering ExcellenceBuild scalable, reliable, and high-performance data solutions. Cloud & Modern Data PlatformsDesign and optimize cloud-native architectures supporting AI and analytics Data Pipeline DevelopmentDevelop robust ingestion, transformation, and orchestration frameworksAI/ML EnablementOperational ExcellenceThe ideal candidate builds scalable data ecosystems that power analytics and AI initiativesEnsures data is accessible, trusted, and ready for advanced analyticsPartners effectively with Data Scientists, Architects, and Product teams

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