Data Engineer, AI/ML, Advanced Analytics
Minneapolis, MN - Onsite
6-12 Months
265571, 265556
Virtusa/Health Care Company

Position Summary
We 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 pipelines
This role will focus on designing and engineering modern data solutions that enable machine learning, advanced analytics, and AI-driven decision making
The ideal candidate has strong expertise in data architecture, cloud platforms, large-scale data processing, and data engineering best practices

Key Responsibilities
Design, develop, and maintain scalable data pipelines supporting AI/ML and analytics workloads
Build and optimize batch and real-time data ingestion frameworks
Develop data integration solutions across multiple internal and external data sources
Implement data transformation, cleansing, enrichment, and validation processes
Design and maintain modern data lake, lakehouse, and data warehouse architectures
Ensure data quality, integrity, security, and governance standards are met
Optimize data processing performance, scalability, and operational efficiency

Required Qualifications
Strong proficiency in Python, SQL, Spark, Scala, or equivalent technologies
Experience building cloud-native data solutions using Azure, AWS, or GCP
Experience with ETL/ELT frameworks and large-scale data processing
Knowledge of distributed data processing technologies and modern data architectures
Experience with data lake, warehouse, and lakehouse platforms
Understanding of data governance, security, and data quality practices
Strong collaboration and problem-solving skills

Preferred Qualifications
Experience supporting AI/ML platforms and Data Science workloads
Familiarity with feature stores, MLOps and model deployment pipelines

Key Competencies
Data Engineering ExcellenceBuild scalable, reliable, and high-performance data solutions. Cloud & Modern Data Platforms
Design and optimize cloud-native architectures supporting AI and analytics Data Pipeline Development
Develop robust ingestion, transformation, and orchestration frameworksAI/ML Enablement

Operational Excellence
The ideal candidate builds scalable data ecosystems that power analytics and AI initiatives
Ensures data is accessible, trusted, and ready for advanced analytics
Partners effectively with Data Scientists, Architects, and Product teams