Software Engineer
Infrastructure
Updated on 2/14/2024
Baton Trucking

11-50 employees

Freight detention & dwell technology platform
Company Overview
Baton Trucking, a technology lab for logistics giant Ryder, is a leader in the freight industry, recognized as the fourth most disruptive company in the sector. The company's mission is to reduce waste in the supply chain through a digital platform that leverages AI to enhance freight planning, addressing issues such as wasted trucking hours, excessive fuel consumption, and underutilized truck capacity. By joining Baton, employees have the opportunity to contribute to a transformative initiative that impacts the environment, improves the lives of drivers, and reduces transportation costs.
AI & Machine Learning
B2B

Company Stage

N/A

Total Funding

$13.8M

Founded

2019

Headquarters

San Francisco, California

Growth & Insights
Headcount

6 month growth

88%

1 year growth

235%

2 year growth

104%
Locations
San Francisco, CA, USA
Experience Level
Entry
Junior
Mid
Senior
Expert
Desired Skills
Python
Apache Spark
Apache Kafka
Data Analysis
CategoriesNew
DevOps & Infrastructure
Software Engineering
Requirements
  • 3+ years of full-time experience in software development
  • Infrastructure development experience with Python or similar modern web languages
  • Experience with big data infrastructure such as Databricks, Kafka, Spark, etc
  • Strong knowledge of modern big data
Responsibilities
  • Contribute to our near real time data streaming and analytics platform -- from building our data streaming pipelines up to designing new data models
  • Design the data streaming and messaging architecture, and own the data landscape, including near real-time data ingestion, processing, and data consumption
  • Work closely with data stakeholders to distill complex data problems into elegant technical solutions
  • Invent and tinker. Imagine completely new ideas, experiment, and build transformative solutions for the freight industry
Desired Qualifications
  • Bachelor's or Master's degree in Computer Science, Engineering, or a related field
  • Strong data analytics background