Full Stack Data Engineer

DataFox helps industry-leading businesses gain control of customer insights with CRM Orchestration. DataFox's machine learning and natural language processing algorithms structure data on millions of businesses and deliver reliable insights into the workflows where they're needed.

DataFox is looking for a data-driven software engineer who can take initiative and think creatively to solve complex data problems. In this role, you will build our data infrastructure and web services to empower our data collection specialists, our data labs team, and ultimately, our customers. You’ll work closely with our labs engineers and data operations to extend DataFox’s leadership in generating accurate company data and proprietary growth insights. You’ll have exposure to new technologies and technical skills, mentorship from best-in-class engineers across platform, API, data science, and front end teams, and actually legitimate production NLP and ML.

* Build our Data Infrastructure and tools to support our teams of data specialists, our data labs engineers, and our network of APIs that power DataFox’s Intelligent Data solutions. * Expand our software suite of services (both backend and frontend) that our teams of data auditors use. * Contribute to our new framework for running batch augmentation processes. * Work closely with our Data Labs team to power more NLP and machine learning in our data processes. * Lead the creation of ETLs to collect, store, and normalize both structured data (e.g. government forms) and unstructured data (e.g. company websites). * Build logic to extract and classify key company data from those websites. * Work closely with PMs and UX engineers to develop APIs that support our many customer facing applications

* BS and/or MS in Computer Science. In some cases, a combination of a deep technical background (e.g. Physics), excellence at a coding bootcamp, and 2-5 years of software engineering experience will work well too. * Willingness to roll up your sleeves and get things done. * Willingness to take risks – done well is better than perfect. * Ability to write clean, scalable code (and a passion for it). * Eagerness to learn new programming languages and technologies. * Experience with Node.js or MongoDB would be helpful. * Superb attention to detail. * Ability take on hard technical challenges: crawling, machine learning, automated data cleaning, etc. DevOps experience is a plus.