IPinfo.io | Data Engineer | REMOTE (Anywhere) | Full-time
IPinfo is a leading provider of IP address data, including geolocation, VPN and residential proxy detection, mobile carrier data, and over 20 other context tags. Our API handles over 120 billion requests per month, and we also license our data for use in many products and services you’ve likely interacted with.
We are looking for a Data Engineer to work on our Places product (https://ipinfo.io/data/places), adding detailed location context to IPs from around the world. This work involves complex BigQuery SQL pipelines to process and clean diverse and messy source datasets. We value simple, readable code and look for subtractive solutions over bloat. We are building something completely new, so the work is very empirical we approach it with an experimental, iterative mindset. Geospatial skills/background is a plus.
Reach out to [email protected] if you are interested. Please share a CV and tell us about your background and why this role is interesting to you.
This article presents a half dozen very different definitions of “neoliberalism”
> The term "neoliberalism" has been understood in a variety of ways: as a package of policy prescriptions; a design philosophy for state-market relations; the spirit of leading institutions of global economic governance; a form of politics focused on private property ownership and consumption as civic participation; a form [End Page 559] of political and social subjectivity; and a distinct epoch in the history of modern capitalism beginning in the late 1970s and early 1980s.
But it also talks about how we are in “a world dominated by neoliberalism”.
Talking about omnipresent and powerful, yet nebulous and vague forces… to me it sounds more theological than economic
IPinfo is a leading provider of IP address data, including geolocation, VPN and residential proxy detection, mobile carrier data, and over 20 other context tags. Our API handles over 120 billion requests per month, and we also license our data for use in many products and services you’ve likely interacted with.
We are looking for a Data Engineer to work on our Places product (https://ipinfo.io/data/places), adding detailed location context to IPs from around the world. This work involves complex BigQuery SQL pipelines to process and clean diverse and messy source datasets. We value simple, readable code and look for subtractive solutions over bloat. We are building something completely new, so the work is very empirical we approach it with an experimental, iterative mindset. Geospatial skills/background is a plus.
Reach out to [email protected] if you are interested. Please share a CV and tell us about your background and why this role is interesting to you.