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# Software Engineer - Data Platform

- **Company:** Baton, LLC
- **Location:** San Francisco, CA, United States
- **Experience:** Experienced
- **Salary:** $162,000 - $216,000
- **Contract:** Permanent contract
- **Skills:** Query Performance, Application Programming Interfaces (APIs), Big Data, Data Architecture, Data Infrastructure, Data Systems, Event-Driven Programming, Python (Programming Language), Software Engineering, SQL Databases, Data Streaming, Data Strategy, Event Driven Architecture, Core Data, Information Technology, Data Analytics, Real Time Data, Stream Processing, Data Pipelines
- **Published:** November 9, 2026
- **Apply:** https://www.careerbuilder.com/job-details/software-engineer-data-platform-san-francisco-ca--7d063898-6974-4865-822c-d3f5f242d988

## About the Role

Software Engineering, Transportation and Logistics, Product Development, Emerging Technology, Cargo/Freight, Customer Relations, Supply Chain, Fortune 500 Customers, Problem Solving Skills, Software Engineering, * 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, * 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.

## Description

As a Software Engineer on our Data Platform team, you will design, build, and maintain the core data infrastructure that powers Baton's near real-time streaming platform. You'll own data pipelines end to end from ingestion through processing to consumption, and work closely with data stakeholders across engineering, product, and ML to translate complex data challenges into scalable, maintainable solutions., * 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.