Data Engineer

Position Summary

Cargomatic is seeking a Senior Data Architect – Data Engineering to design and build scalable, cloud-native data infrastructure that powers analytics, machine learning, and AI-driven applications. This role combines deep data architecture expertise with hands-on experience in modern data platforms and LLM-enabled application development.

You will lead the design of enterprise-grade data models, architect RAG systems, implement agentic workflows, and integrate secure, production-ready LLM capabilities into our ecosystem. This is a high-impact role with significant ownership, visibility, and opportunity to shape the future of intelligent logistics technology.

Key Responsibilities

Data Architecture & Engineering

• Design and build scalable, cloud-native data pipelines (batch and streaming) supporting analytics, ML, and AI-powered applications
• Architect enterprise-grade data models across data lakes, warehouses, and real-time systems (Snowflake, Databricks, Kafka, DBT)
• Define standards for data governance, reliability, performance, and cost optimization
• Optimize storage formats and distributed data systems (Parquet, Delta Lake, Iceberg)

AI & LLM-Enabled Systems

• Develop Retrieval-Augmented Generation (RAG) systems integrating structured and unstructured enterprise data
• Design and implement agentic workflows using frameworks such as LangChain, LangGraph, LlamaIndex, n8n, or similar
• Integrate LLM APIs (OpenAI, Anthropic, or similar) into secure, production-ready applications
• Implement guardrails, validation layers, monitoring, and evaluation frameworks to mitigate hallucination, prompt injection, and data security risks

Backend & API Development

• Build secure backend APIs (Python/FastAPI) to expose AI-powered capabilities
• Ensure observability, monitoring, and cost controls across AI and data services
• Contribute to microservices architecture and distributed system design

Qualifications

• Bachelor's degree in Computer Science or equivalent practical experience
• 8+ years of software or data engineering experience in production environments
• Strong expertise in data modeling, distributed systems, and scalable cloud architectures
• Hands-on experience with ETL/ELT frameworks and streaming technologies (Kafka, Spark, HEVO, Snowflake, DBT, etc.)
• Advanced SQL skills and deep understanding of modern storage formats
• Proficiency in Python and RESTful API development
• Experience integrating LLM APIs into production applications
• Strong understanding of system reliability, observability, and cost management in cloud environments

Desired Experience

• Experience building RAG pipelines including embeddings, vector search, chunking strategies, and hybrid retrieval
• Experience designing multi-agent or agentic AI workflows with orchestration frameworks
• Knowledge of LLM evaluation, monitoring, and tracing tools (LangSmith or similar)
• Experience with microservices architecture and distributed system design
• Exposure to transportation, logistics, or supply chain domains
• Active GitHub contributions or demonstrated passion for emerging AI and data technologies

Benefits

• Medical, Dental, and Vision insurance
• 401(k) with company match
• Flexible Spending Accounts (FSA)
• Company-paid Life and Disability insurance
• Flexible Paid Time Off (PTO) and company holidays
• Paid Parental Leave
• Employee Assistance Program (EAP)
• Opportunity to build cutting-edge AI solutions in a high-growth logistics technology company
• Collaborative, high-impact team environment

Cargomatic is proud to be an Equal Opportunity Employer. We are committed to creating a diverse and inclusive workplace where all employees feel valued and empowered to succeed.