Software Engineer - Data Platform

Who We Are

Baton is Ryder’s in-house product development group focused on harnessing emerging technologies to redefine transportation and logistics. With $10B in freight under management, our technology reaches every part of the U.S. economy.

We design and ship category-defining software that enables Ryder and its 50,000+ customers—including some of the world’s most well-known brands—to plan and execute freight intelligently, efficiently, and cost-effectively. Our work includes everything from customer-facing software to the data platform that will power the next era of innovation at Ryder.

Baton’s mission: enable supply chain on autopilot.

Ryder acquired Baton in 2022 to power its next wave of digital products. We operate at startup speed, with Fortune 500 reach. If you have a passion for solving complex problems and creating impact for the engine of the American economy, you’ll love it here.

Role: Software Engineer

Department: Data Platform

Location Hayes Valley, San Francisco, CA

Basic Job Details

Job Type: Full Time

Work Model: Hybrid

Remote Days: Monday & Friday

Office Days: Tuesday, Wednesday, Thursday

Responsibilities

• Design and maintain a robust data streaming and messaging architecture.
• Ownership of our near real-time data streaming platform.
• Act as a technical liaison to ensure alignment of data strategies with business goals.
• Take charge of the entire data landscape, encompassing near real-time data ingestion, sophisticated processing, and efficient data consumption strategies.
• Collaborate closely with data stakeholders to simplify and solve complex data challenges, transforming them into scalable and maintainable technical solutions.
• Everything from developing and maintaining data pipelines, enhancing data models, to refining API layers.

Required Qualifications

• Data Systems Expertise
  • Demonstrates experience with real-time data systems
  • Relational table modeling and Event driven pipeline architecture
  • Working familiarity with SQL: Query Performance Analysis, Optimization, and Construction
• Python Proficiency
  • Advanced proficiency coding in python

Preferred Qualifications

• Bachelor’s or Master’s Degree in Computer Science, Engineering, or a related technical field
• 3-5 years of Software Engineering experience, with a preference for backgrounds in event-driven architecture or real-time data streaming
• Demonstrated interest or experience in the freight and logistics industry, with a keen understanding of its data-driven challenges and opportunities.
• Strong foundation in data analytics and big data technologies, with the ability to leverage these skills to drive insights and operational efficiencies.

The Perks

• Competitive Base Salary
• Annual Company Bonus
• Long Term Cash Incentive Plan
• 401k with Matching
• Hybrid Work Schedule
• Comprehensive Health Coverage
• Hyper-Stable, publicly traded Enterprise
• Employee Stock Purchase Program (15% discount to market value)
• Collaborative, Tech-Forward, Cozy office environment in Hayes Valley

Compensation Range: The annual base salary range for this position is $162,000 - $216,000*

Compensation will vary based on factors including skill level, transferable knowledge, and experience.

Note that the above is not the representation of total compensation, which includes our LTI Package as well.

In addition to base salary, Baton's full-time employees are eligible for an annual company performance bonuses.

Why You Should Join

• Have an immediate impact:
  • With Ryder’s existing customer base of 50,000+ companies and an internal headcount of 43,000, the scale and impact of our products will be large and far-reaching, from day one.
• Opportunity to grow and lead in a Fortune 500 company:
  • You’ll get to work in a rapidly growing, startup-like environment while having the stability and backing of Ryder and its full executive team.
• Creative, fast-paced environment to solve impactful problems in Supply Chain:
  • We’re going to design completely new tools for an industry that hasn’t been rethought in decades. And to do this, we need people who think differently.