AI-Driven Logistics Data Platform Engineer

Gallatin

San Francisco (CA)

Presencial

USD 180.000 - 270.000

Jornada completa

Hace 12 días

Una candidatura completa en un minuto

Currículum y carta de presentación personalizados, listos para enviar.

Supera los filtros ATS

Ventajas ofrecidas por este puesto de trabajo

Options grant
Health insurance
401k
Unlimited PTO
Free lunches

Descripción de la vacante

Gallatin seeks a Senior Data Engineer to design and operate a containerized data platform that connects external sources, cleans data, and powers Navigator and AI agents. You will build lakehouse pipelines, model entities, and lineage while delivering SME-facing tools.

You will work across Kubernetes, cloud and air-gapped environments, with Python/SQL, and front-end components to empower analysts and mission partners.

Formación

  • 8+ years of professional data engineering experience with production pipelines
  • Experience with an open table format (Iceberg preferred) and a distributed query engine
  • Proficiency in Python and SQL across heterogeneous sources
  • Strong data modeling for analytical and operational workloads
  • Production orchestration experience (Airflow, Dagster, Argo)

Responsabilidades

  • Build the Data Platform: containerized services, open lakehouse, and DDIL-ready pipelines
  • Turn raw data into curated semantic entities and lineage
  • Develop fullstack tooling (TypeScript/Vue) for SME access and low-code workflows
  • Collaborate with Product/AI/Frontend teams and contribute to RFCs and CI/CD

Conocimientos

Data engineering
Python
SQL
Kubernetes
Docker
React Vue
Data modeling
Airflow

Educación

Bachelor’s or higher in CS/SE

Herramientas

Apache Iceberg
Trino/Presto/Spark SQL
Dagster/Argo
Airflow

Descripción del empleo

Gallatin seeks a Senior Data Engineer to design and operate a containerized data platform that connects external sources, cleans data, and powers Navigator and AI agents. You will build lakehouse pipelines, model entities, and lineage while delivering SME-facing tools.

You will work across Kubernetes, cloud and air-gapped environments, with Python/SQL, and front-end components to empower analysts and mission partners.

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