AI/ML Data Engineer for Advanced Analytics Platforms

Quantum Technologies LLC; Minnetonka (MN); On-site; USD 80,000 - 107,000; Full time

Job summary

Quantum Technologies LLC seeks a 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 focuses on designing and engineering modern data solutions that enable machine learning and analytics-driven decision making.

The candidate will design and maintain data lakehouse architectures, implement data governance, and collaborate with data scientists to optimize feature

Qualifications

• Experience in data engineering and analytics platforms.
• 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.
• Experience supporting AI/ML platforms and Data Science workloads.
• Familiarity with feature stores, MLOps, and model deployment pipelines.
• Experience with real-time streaming technologies.

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.
• Engineer reliable datasets and feature stores that support machine learning model development.
• 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.
• Collaborate with Data Scientists and Analysts to support feature engineering and model deployment requirements.
• Enable MLOps and ML platform capabilities to support model operationalization.
• Implement monitoring, observability, and operational support processes for data platforms.
• Maintain documentation, data lineage, and metadata management standards.
• Strong collaboration and problem-solving skills.
• Build scalable, reliable, and high-performance data solutions.
• Design and optimize cloud-native architectures supporting AI and analytics.
• Develop robust ingestion, transformation, and orchestration frameworks.
• Create data foundations that accelerate machine learning and advanced analytics.
• Ensure trusted, secure, and compliant enterprise data assets.
• Drive reliability, scalability, monitoring, and maintainability across data platforms.
• 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.
• Improves performance, reliability, and efficiency of data platforms.
• Enables faster insight generation and AI innovation.
• Delivers robust engineering solutions that create measurable business value.

Skills

Data Engineering

ETL/ELT

Distributed Data Processing

AI/ML Platforms

MLOps

Real-time Streaming

Tools

Data Lake

Data Warehouse

Lakehouse

Feature Stores

Job description

Quantum Technologies LLC seeks a 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 focuses on designing and engineering modern data solutions that enable machine learning and analytics-driven decision making.

The candidate will design and maintain data lakehouse architectures, implement data governance, and collaborate with data scientists to optimize feature