Data & AI Engineer

Overview

Senior Data & AI Engineer to build and modernize an enterprise data and AI ecosystem in a remote, contract role.

What you'll do

• Architect and deploy scalable real-time streaming data pipelines.
• Build data and AI pipelines that support structured, semi-structured, and unstructured data for AI and agentic solutions.
• Design and implement retrieval-augmented generation (RAG) architectures and integrate them with enterprise data infrastructure.
• Create data domains and data products for reporting, data science, AI/ML, and analytics consumption.
• Develop semantic layers for dynamic query translation and real-time/conversational analytics.
• Model entities and relationships using knowledge graphs and integrate multiple data sources with semantic consistency.

What you'll need

• 6+ years of hands-on data engineering experience on cloud platforms (AWS, Azure, or GCP).
• Experience with streaming platforms such as Apache Kafka, AWS Kinesis, or Spark streaming.
• Track record in RAG architectures, vector search systems, chunking/embedding, and pipelines for LLM/agentic AI.
• Experience with graph databases (Neo4j, Amazon Neptune) and query languages (Cypher, SPARQL, or Gremlin).
• High proficiency in Python, Scala, or Java, along with SQL, DataOps, CI/CD, and containerized deployments.
• Proficiency in domain-driven data design, dimensional modeling, semantic layer integration, and reusable data products.

Details

• Work location: USA - Remote.
• Experience level: 6+ years.
• Employment type: Contract (C2C).