2 python engineer jobs at 2 companies in Flagstaff, AZ
🚀PromotedHiringCafe
Founding Backend / Infra Engineer
Cupertino, CA, US
$160k-$300k/yrOn-SiteFull Time
HiringCafe: Building a 100× better job search engine to take on Indeed and LinkedIn.
Own the crawlers, pipelines, and infrastructure powering a real-time job search engine. Strong Node.js and Python fundamentals; bonus points for security and reverse-engineering chops.
HiringCafe: Building a 100× better job search engine to take on Indeed and LinkedIn.
Help us build a 100× better job search engine. We need a full-stack engineer with great taste, sharp fundamentals, and a track record of shipping polished product on React/Next.js plus a real backend (Firebase, Elasticsearch, Redis, Stripe).
Business Intelligence Developer-Medicaid - Level I (Remote AZ)
Phoenix or Tucson or Chandler or Flagstaff or Arizona
RemoteFull Time
Blue Cross Blue Shield of Arizona: Provides health insurance and wellness services to Arizona residents.
2+ YOEMinimum 2 years data/report development and analysis, 1 year query design; high-school diploma/GED required; intermediate proficiency in T-SQL, SSMS, SSRS, SSIS, Visual Studio, SSDT, Redgate, Microsoft Excel, and BI visualization tools (Tableau, Qlik Sense, Power BI).
T-SQL, SSMS, SSRS, SSIS, SSDT, Visual Studio, Redgate, Microsoft SQL Server, Qlik Sense, Qlik View, Tableau, Microsoft Power BI, Microsoft Excel, Power Pivot, DAX, MDX, Visual Basic, Microsoft Outlook, Microsoft Teams, Microsoft Word, Microsoft Access, Microsoft PowerPoint, Python, R
Oakland or Washington or Ohio or District of Columbia or California or Long Beach or Arizona or Colorado or Connecticut or Florida or Georgia or Maryland or Minnesota or Nevada or Oregon or El Dorado Hills or San Diego or Woodland Hills or Alabama or Illinois or Virginia or Wisconsin or Texas or New York
$182k-$273k/yrHybridFull Time
Ascendiun: Nonprofit parent overseeing health insurance and clinical service organizations.
8+ YOEAdvanced experience in applied AI/ML and software development, strong Python engineering, hands-on with deep learning and LLM frameworks, experience building production AI applications and leading ML design.