Senior Data Engineer

Acelab

126d

About The Position

We are seeking a Senior Data Engineer to join our AI-focused data team and lead the development of scalable data processing and enrichment pipelines. You'll work at the cutting edge of AI-powered data engineering, building production-grade systems that power our Material Hub platform and enable architects to access comprehensive, up-to-date material information.

Requirements

• Advanced Python programming with experience building production data processing systems
• Proven experience productionalizing and scaling AI/ML systems using LangChain or similar LLM orchestration frameworks
• Advanced SQL skills with PostgreSQL experience and familiarity with vector databases
• Experience with Google Cloud Platform or another major cloud platform
• Experience with containerization using Docker
• Proficiency with workflow orchestration tools such as Airflow
• Strong system design skills and experience with CI/CD pipelines

Nice To Haves

• Data science experience, including evaluation and monitoring experience
• MCP (Model Context Protocol) experience
• Graph database (e.g. Neo4j) experience
• Kubernetes experience
• Experience with event-driven architectures (Kafka, GCP Pub/Sub, AWS SQS, or Azure Event Hubs)
• Experience with web scraping
• Interest in or experience with the AEC (Architecture, Engineering, Construction) industry

Responsibilities

• Work within a team to design and implement scalable AI-powered data processing pipelines
• Automate manual processes and build intelligent resource management systems
• Transform proof-of-concept solutions from other team members into production-grade deployed systems
• Establish monitoring, logging, and CI/CD infrastructure
• Provide technical mentorship and conduct code reviews
• Architect reusable components and quality assurance frameworks

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 51-100 employees