IPinfo
51 - 200 employees
Founded 2013
🔌 API
🤝 B2B
🏢 Enterprise
💰 Non equity assistance on 2018-04
API • B2B • Enterprise
IPinfo is a provider of verified IP intelligence and geolocation data delivered primarily via APIs and downloadable data products. The company offers developer-ready IP lookup services (geo, ASN, privacy/VPN/proxy detection, residential proxy signals, mobile carrier, whois, hosted domains, abuse contacts, and IP ranges) with a global ProbeNet for real-time measurements, tiered products from a free Lite plan to enterprise custom solutions, and tooling aimed at developers and enterprises for security, network awareness, and analytics use cases.
Data Engineer
Job not on LinkedIn
🕒 July 27
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IPinfo
51 - 200 employees
Founded 2013
🔌 API
🤝 B2B
🏢 Enterprise
💰 Non equity assistance on 2018-04
API • B2B • Enterprise
IPinfo is a provider of verified IP intelligence and geolocation data delivered primarily via APIs and downloadable data products. The company offers developer-ready IP lookup services (geo, ASN, privacy/VPN/proxy detection, residential proxy signals, mobile carrier, whois, hosted domains, abuse contacts, and IP ranges) with a global ProbeNet for real-time measurements, tiered products from a free Lite plan to enterprise custom solutions, and tooling aimed at developers and enterprises for security, network awareness, and analytics use cases.
📋 Description
• Make sense of large, unfamiliar datasets • Maintain and extend BigQuery data pipelines • Work with geospatial data • Use AI tooling • Communicate problems and solutions clearly • Work on web-based dashboards
🎯 Requirements
• Advanced SQL - window functions, CTEs, query restructuring for performance • BigQuery is a strong plus • Strong communication skills • A track record of turning messy, ambiguous data into reliable, interpretable signals • An internet record of significant experience as a data scientist or engineer • Clean-code discipline • Fast learning • Geospatial fundamentals • Cloud tooling and workflow orchestration (CI/CD, Docker, Airflow, etc.) • Strong Python for geospatial data work
🏖️ Benefits
• Professional development • Remote work options
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