Acelab-posted 2 months ago
Full-time • Mid Level
51-100 employees

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.

  • 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
  • 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
  • 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
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