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.