Staff Software Engineer - Infrastructure, Data Platform
Baton (A Ryder Technology Lab) · San Francisco, CA
$260,000–$350,000from the description
Jul 23, 2026
San Francisco, CA
Jul 25, 2026
What this job asks for AI summary
A staff-level infrastructure engineering role focused on building and owning the data platform that connects two freight execution systems. Day-to-day work centers on architecting streaming pipelines, managing real-time data ingestion, and leading large-scale integrations with enterprise supply chain platforms. Suited to a senior engineer with a strong Python background and hands-on experience with distributed systems and big data infrastructure.
Staff level · 5+ years · San Francisco-Oakland-Berkeley, CA · Full-time
We read this from the posting text with AI. Skim the description below before ruling yourself out.
How this req sits in the market our data
Roughly 65 people in the San Francisco-Oakland-Berkeley, CA area plausibly meet what this posting asks for (database architects). range 40–100
Applicant volume Moderate — A normal amount of company. The rare requirements below are what will separate a shortlisted application from the rest.
Most people in this occupation already list these. Still required — just not what gets you shortlisted.
What the occupation pays Median $179,727 (middle half $166,748–$216,836). This posting is about at that midpoint.
Estimated from BLS employment for this occupation and area, per-skill prevalence across our listing corpus, and published wage benchmarks — as of Jul 28, 2026. It is a model, not a headcount.
Why we read it this way (6)
SOC classification is a close call: the role centers on designing and owning data streaming pipelines and big data infrastructure (pointing to 15-1243 Database/Data Architects), but the emphasis on hands-on Python coding at a Staff level and software delivery also fits 15-1252 Software Developers.
The degree requirement (Bachelor's or Master's in CS/Engineering) appears only under 'Preferred Qualifications', so it is not treated as a hard gate.
The 5+ years of software development experience is listed under 'Preferred Qualifications', so it is used as the overall years minimum only as a soft signal; no hard overall experience floor is stated in the required section.
Kafka, Databricks, and Spark are listed under 'Preferred Qualifications' alongside the broader 'big data infrastructure' framing, so they are marked as preferred rather than required.
Real-time data integration experience and technical leadership are called out as required qualifications but name no specific technology, so they are not emitted as skills per the extraction rules.
The role is hybrid (remote Mon/Fri, in-office Tue–Wed–Thu), so remote is set to false.
Read the full posting
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