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Data EngineerArgo AI • San Francisco, California, United States
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Data Engineer

Argo AI
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    San Francisco, California, United States
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    San Francisco, California, United States
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About

Location: San Francisco, CA Reports To: VP of Engineering FLSA Status: Exempt Employment Type: Full-Time Compensation: $140,000 – $160,000 annually (based on experience)
About Cargomatic Cargomatic is transforming the local trucking industry with cutting‑edge technology that connects shippers and carriers in real time. Every product that humans build, grow, or sell has spent time on a truck. Local trucking is the lifeblood of every regional economy, yet this $82 billion industry still relies heavily on outdated systems. Cargomatic is bringing transparency, efficiency, and intelligence to local freight through modern technology and data‑driven solutions.
We are solving complex, real‑world logistics problems every day. If you thrive in a fast‑paced environment, enjoy building scalable systems, and want to help shape the future of AI‑powered logistics, we’d love to meet you.
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
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
Partner cross‑functionally with Product, Engineering, and Operations to translate business requirements into scalable technical solutions
Mentor junior engineers and contribute to architectural standards and best practices
Drive innovation in data engineering and AI‑powered logistics systems
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
Why Join Cargomatic?
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
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.
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  • San Francisco, California, United States

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  • English
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