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Data Engineer

A company helping brands enhance the buyer's journey and shopping experience worldwide.
Data
Mid-Level Software Engineer
Remote
101 - 500 Employees
Enterprise SaaS · E-Commerce
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Description For Data Engineer

PriceSpider is an innovative enterprise SaaS company dedicated to revolutionizing the online shopping experience for brands worldwide. With a workforce of 350 employees across four countries, they're on a mission to make shopping more human and help brands better connect with their customers.

As a Data Engineer at PriceSpider, you'll be at the forefront of building and maintaining enterprise-level data infrastructure. You'll work with cutting-edge technologies like Snowflake, BigQuery, and Tableau to design and implement complex data pipelines that process terabytes of data. This role combines technical expertise in data engineering with the opportunity to solve challenging problems that directly impact how brands and retailers serve their customers.

The ideal candidate will bring strong technical skills in data engineering, advanced SQL capabilities, and experience with big data processing. You'll be part of a dynamic environment that values rapid iteration and cross-functional collaboration. PriceSpider offers a flexible work environment with emphasis on work-life balance, professional growth, and employee wellbeing.

This is an excellent opportunity for a data professional who wants to make a significant impact in e-commerce and brand analytics while working with a global team that celebrates diversity and inclusion.

Last updated 8 months ago

Responsibilities For Data Engineer

  • Design, develop, test, deploy, and maintain data engineering solutions and complex data pipelines
  • Build tools and processes to move and transform high data volumes
  • Build and manage data monitoring solutions
  • Analyze complex software systems and collaborate with cross-functional teams
  • Work with Snowflake, BigQuery, Looker, Tableau, and other data platforms
  • Manage project priorities, deadlines and deliverables

Requirements For Data Engineer

Python
Go
Java
JavaScript
  • BS degree in Computer Science or related technical field or equivalent practical experience
  • Experience with BigQuery, Snowflake, Redshift, or equivalent OLAP data environment
  • Experience working with big-data at Terabyte and multi-billion row scale
  • Knowledge of data mining, natural language processing, and information retrieval
  • Experience processing large amounts of structured and unstructured data
  • Advanced SQL query skills
  • Programming experience with Python, Go, C#, Java, or Javascript
  • Strong computer science fundamentals
  • Ability to work in fast-paced environment
  • Familiarity with agile methodologies (SCRUM and KanBan)

Benefits For Data Engineer

Education Budget
  • Flexible work-from-home arrangements
  • Flexible vacation
  • Technical stipend
  • Professional development programs
  • Wellness programs