3 staff platform engineer jobs at 3 companies in Iowa
2w
Save
Mark Applied
Hide
2w
Staff Engineer, Data and AI
United States or Canada or Mexico or Alaska or Arizona or California or Colorado or Connecticut or District of Columbia or Florida or Georgia or Illinois or Iowa or Kansas or Maryland or Massachusetts or Michigan or Minnesota or Missouri or New Jersey or New York or North Carolina or Oregon or Pennsylvania or Rhode Island or Texas or Vermont or Virginia or Washington or Wisconsin or Alberta or British Columbia or Ontario
RemoteFull Time
Change.org: Nonprofit-owned public-benefit technology platform helping people and organizations create petitions, mobilize supporters, and engage decision-makers.
7+ YOE7+ years of software engineering experience; expertise in distributed data systems, Python, SQL, cloud-native infrastructure, AI platforms, production operations, observability, and technical leadership.
WorkivaNYSE: WK: Publicly traded software providing an AI-powered cloud platform for finance, sustainability, risk, audit, and compliance teams.
6+ YOE6+ years building and scaling enterprise software; experience leading technical strategy and architecture; hands-on agentic AI development; strong distributed systems and platform design skills; strong written and cross-team communication.
Chicago or St. Petersburg or Alabama or Arkansas or Arizona or California or Colorado or Connecticut or Florida or Georgia or Idaho or Illinois or Indiana or Iowa or Kansas or Kentucky or Massachusetts or Maine or Maryland or Michigan or Minnesota or Missouri or Montana or North Carolina or Nebraska or New Jersey or New Mexico or Nevada or New York or Ohio or Oklahoma or Oregon or Pennsylvania or South Carolina or South Dakota or Tennessee or Texas or Utah or Vermont or Virginia or Washington or Wisconsin or Ontario
$159k-$187k/yrRemoteFull Time
Kin Insurance: Insurance is a private direct-to-consumer digital homeowners insurance provider serving U.S. homeowners.
8+ YOE8+ years in analytics/BI/data modeling, deep semantic and dimensional modeling experience, hands-on with ontology or semantic layers, familiarity with lakehouse platforms and Databricks, strong communication and technical leadership.