Data Engineer with AI Experience
Posted Today by Spar Information Systems
Negotiable
Undetermined
Remote
Remote
Summary: We are looking for a senior Data Engineer to create enterprise-scale data platforms that support AI and machine learning initiatives. The role emphasizes building AI-ready data foundations that ensure high-quality, governed data optimized for advanced analytics. The position requires collaboration with AI/ML teams and mentoring to establish best practices in data engineering. This is a remote position requiring work in the PST timezone.
Key Responsibilities:
- Architect and build scalable, cloud-native data platforms supporting AI/ML and agent-based applications
- Design pipelines to deliver AI-ready data (curated, labeled, contextualized, and feature-rich datasets)
- Develop robust data ingestion, transformation, and serving layers (batch + real-time)
- Enable semantic data models, knowledge graphs, and vector databases to power AI agents and LLMs
- Implement data quality, lineage, and governance frameworks to ensure trust and compliance
- Collaborate with AI/ML teams to support feature engineering, model training, and inference pipelines
- Optimize data architectures for performance, scalability, and cost efficiency
- Mentor teams and establish best practices for AI-driven data engineering
Key Skills:
- 10+ years of experience in data engineering and platform architecture
- Strong expertise in cloud platforms (Azure, AWS, or Google Cloud Platform) and modern data ecosystems
- Familiarity with AI/ML data pipelines, feature stores, and model lifecycle support
- Experience with LLM data pipelines
- Strong understanding of data governance, metadata management, and security frameworks
Salary (Rate): undetermined
City: undetermined
Country: undetermined
Working Arrangements: remote
IR35 Status: undetermined
Seniority Level: undetermined
Industry: IT
Role: Data Engineer for AI Ready data platforms
Location: Remote (Need to work in PST Timezone)
Duration: 12 Months
Role Summary
We are seeking a senior Data Engineer to design and build enterprise-scale data platforms that enable AI/ML and agentic systems. This role focuses on engineering AI-ready data foundations-ensuring data is high-quality, governed, and optimized for advanced analytics and autonomous AI agents.
Key Responsibilities
- Architect and build scalable, cloud-native data platforms supporting AI/ML and agent-based applications
- Design pipelines to deliver AI-ready data (curated, labeled, contextualized, and feature-rich datasets)
- Develop robust data ingestion, transformation, and serving layers (batch + real-time)
- Enable semantic data models, knowledge graphs, and vector databases to power AI agents and LLMs
- Implement data quality, lineage, and governance frameworks to ensure trust and compliance
- Collaborate with AI/ML teams to support feature engineering, model training, and inference pipelines
- Optimize data architectures for performance, scalability, and cost efficiency
- Mentor teams and establish best practices for AI-driven data engineering
Required Skills & Experience
- 10+ years of experience in data engineering and platform architecture
- Strong expertise in cloud platforms (Azure, AWS, or Google Cloud Platform) and modern data ecosystems
- Familiarity with AI/ML data pipelines, feature stores, and model lifecycle support
- Experience with LLM data pipelines
- Strong understanding of data governance, metadata management, and security frameworks
Preferred Qualifications
- Experience building data platforms for AI agents / agentic workflows
- Knowledge of RAG (Retrieval Augmented Generation) architectures and semantic search
- Exposure to data mesh / domain-oriented data architectures
- Experience in large-scale enterprise transformation programs