Data Engineer @ Hello Privacy - New York, NY

Job Overview

13 days ago

Data Engineer

Hello Privacy - New York, NY

HelloPrivacy helps millions of people clean up, protect and improve their online privacy & reputation. Our Privacy API allows enterprises across industries like identity protection, fintech, banking, antivirus and cybersecurity to add powerful privacy features to their own offerings through our scalable, industry-leading Privacy APIs and white label partner solutions. We have successfully launched the Privacy API which removes consumer personal information from the web with a number of Fortune 500 partners in just the past few months!

Our consumer brand, BrandYourself.com, has helped millions of consumers protect their online reputation and has been featured on ABC's Shark Tank, BBC's Dragons' Den and numerous other media outlets.

This is an opportunity to join a fast-growing, profitable, venture-backed company in a rapidly expanding market in a highly-impactful position, with the opportunity to work on scalable, enterprise solutions or consumer facing products.

We're looking for a Data Engineer to join our dynamic technology department. You will focus on working on everything data! This important work will align with the execution of our API & SaaS roadmaps. You will report to the Chief Technology Officer of Hello Privacy, an Array acquired firm.

This is an opportunity to join a fast-growing, profitable venture-backed company in an expanding market in an impactful position. You will work with technologies such as Python, Node JS, Athena, DynamoDB, Couchbase, and many more!

You Will:

  • Own your work from technical design, development, testing, maintaining and documenting
  • Collaborate with the Product, Business Development, and Engineering teams to solve data related business & technical challenges in simple, sustainable ways

You Have:

  • 3+ years of experience as a Data Engineer
  • Experience coding around any data request.
  • An understanding of Python or applicable data processing languages.
  • A firm grasp on Agile software development methodologies
  • An understanding of NoSQL and SQL data stores such as Postgres, DynamoDB, and others.
  • An understanding of ETL and data pipeline principles connecting to multiple data sources such as a Data Lake & Reporting Systems.
  • An understanding of large-scale data processing such as Spark
  • An understanding of query engines and can write code in SQL

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