PromotedHiringCafe
Founding Backend / Infra Engineer
Cupertino, CA, US
$160k-$300k/yr On-SiteFull Time
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.
Node.js, Python, Elasticsearch, Redis
2mo
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Senior Catastrophe Risk Analyst
Chicago or Jersey City or Marlton or Tampa
HybridFull Time
5+ YOEAdvanced degree in a quantitative field; 5+ years catastrophe modeling; Python, R, SQL; GIS; experience with RMS/Verisk/AIR; strong communication.
Python, R, SQL, GIS, QGIS, ArcGIS, RMS, Verisk, AIR, Excel
2w
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Senior Platform Data Analyst Ansell Guardian
Iselin, New Jersey, United States
$95k-$105k/yr HybridFull Time
3+ YOEBachelor’s degree required,3–5 years in data analytics/engineering,proficiency in SQL/Python/R,BI and cloud platforms,experience with data governance,API/JSON interfaces,Agile,English fluency.
AnsellGUARDIAN, Salsify, GIS, TRMS, SQL, Python, R, JSON, Swagger/OpenAPI, Snowflake, Databricks, AWS, Azure, Power BI, Tableau
1mo
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Distribution Engineer 1 (Entry-Level) - Grid
Hamilton, New Jersey, United States
$63k-$91k/yr HybridFull Time
1+ YOEBS or MS in engineering, 1+ years electric utility distribution experience, knowledge of distribution design and codes (NESC, NEC, ANSI, IEEE), familiarity with AutoCAD/ArcGIS/PoleForeman, strong communication; Python/MATLAB/advanced Microsoft Excel valued.
AutoCAD, ArcGIS, PoleForeman, GIS, Python, MATLAB, Microsoft Excel
2mo
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Senior Catastrophe Risk Analyst
Chicago or Jersey City or Marlton or Tampa
OnsiteFull Time
5+ YOESenior catastrophe risk analyst with advanced degree, 5+ years in catastrophe modeling or related field; strong coding (Python/SQL), GIS, and data analysis; experience with third-party models (RMS/Verisk/AIR); excellent communication and cross-functional collaboration.
Python, R, SQL, GIS, QGIS, ArcGIS, RMS, Verisk, AIR
2mo
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Catastrophe Risk Analyst
Chicago or Jersey City or Marlton or Tampa
HybridFull Time
3+ YOEAdvanced degree in a quantitative field; 3–5 years in catastrophe modeling or related analytics; proficiency with modeling platforms; strong coding and data analysis skills; GIS familiarity; ability to explain complex results.
catastrophe modeling platforms, Python, R, SQL, GIS, QGIS, ArcGIS