Senior Data Engineer — AI-Driven Logistics Platform

Gallatin AI, Inc.

Austin (TX)

On-site

USD 80,000 - 210,000

Full time

8 days ago

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Benefits offered by this job

Competitive compensation
Health insurance
401k
Unlimited PTO
Free lunches

Job summary

Gallatin AI, Inc. is seeking a Senior Data Engineer in Austin, TX to design and operate the Data Platform that connects data sources, cleans data, and services Navigator and AI agents. You will build containerized services, run an open lakehouse, and empower analysts with map-and-test pipelines.

Ideal candidates have strong Python/SQL, data modeling, and API design skills, plus experience with production data pipelines, orchestration, and front-end tool development for SME use.

Qualifications

  • 8+ years of professional data engineering experience.
  • Experience with Apache Iceberg and a distributed query engine (e.g., Trino, Presto, Spark SQL).
  • Experience with streaming and batch data pipelines (Kafka, NiFi, Debezium, Spark).
  • Strong proficiency in Python and SQL with multi-source data integration.
  • Data modeling for analytical and operational workloads; ship production data pipelines.
  • Production orchestration experience (Airflow, Dagster, Argo).
  • Frontend skills to ship internal tools (React/Vue) and RESTful APIs.

Responsibilities

  • Build the Data Platform: containerized services to manage data connections and run an open lakehouse.
  • Turn raw data into trusted entities: implement entity resolution, data fusion, and lineage.
  • Build tools that put data in SME hands: fullstack apps and low-code pipelines for mapping fields and testing changes.
  • Collaborate with Product, AI/ML, Frontend, and Infra teams, contribute to RFCs, and mentor engineers.

Skills

Data engineering
Python
SQL
Entity resolution
Data modeling
CI/CD practices
React/Vue frontend basics

Tools

Kubernetes
Docker
Apache Iceberg
Trino/Presto/Spark SQL
Airflow/Dagster

Job description

Gallatin AI, Inc. is seeking a Senior Data Engineer in Austin, TX to design and operate the Data Platform that connects data sources, cleans data, and services Navigator and AI agents. You will build containerized services, run an open lakehouse, and empower analysts with map-and-test pipelines.

Ideal candidates have strong Python/SQL, data modeling, and API design skills, plus experience with production data pipelines, orchestration, and front-end tool development for SME use.

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