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Boxed // mobile bulk shopping
Engineering, Full Time    Remote, New York City, SF    Posted: Thursday, September 29, 2022
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At Boxed, our mission is to address the evolving data needs of businesses through our experience within the e-Commerce landscape. What began as an end-to-end solution for is now a world-class suite of SaaS products, powered by advanced analytics & machine learning. Retailers & companies of various industries can easily produce deep business insights, resulting in data-driven, positive outcomes in all facets of their operations.

Our Engineering team is a brilliant cultivator of technology powering our world class platform & SaaS spanning everything from Catalog, Orders & Fulfillment, & Personalization. Being part of Boxeds Engineering team means youll work with wicked-smart individuals from all over the world who contribute as engineers, product managers, designers, & data scientists. Every day our Engineering team innovates in the depths of e-commerce with the latest technologies & were excited to welcome engineers who are ready for a challenge & know how to think outside the box!

As a Senior Data Engineer, you will help us maintain & improve the quality of the systems supporting our data-driven platform that serves millions of customers worldwide.  You will be responsible for building all aspects of a scalable data pipeline infrastructure, including collection, transformation, storage, querying, & retrieval of data.

Although our data platform is primarily written in Java & Python, we value any capable engineer who can think critically & learn quickly. We're hosted on Google Cloud Platform & leverage many of their services to power our platform. We are looking for engineers who are comfortable with a variety of server-side technologies & are determined self-starters with a strong passion for technology innovation.

You will:

  • Work on our ETL pipeline, helping it scale with the growing data needs of our company
  • Work with stakeholders, such as developers, analysts & data scientists, to ensure everyone in the company has access to the data they need
  • Create data tools for analytics & data scientists that assist them in building & optimizing our products.
  • Identify, design, & implement internal process/system improvements -- optimizing performance, reliability, & scalability of our existing systems
  • Write clear documentation as well as unit tests to ensure code reliability & ease of maintenance
  • Perform stress & load testing across various core services. 


  • Demonstrable results & products from 4+ years of relevant experience
  • Experience working with databases & data infrastructure (eg. Redshift, Snowflake, BigQuery, Kinesis, Kafka, Spark)
  • Strong analytical & problem-solving skills
  • Ability to work alone or in small teams
  • Ability to learn & adapt quickly in a fast-paced environment. 

Benefits & Perks:

  • Working with smart, positive people
  • Competitive salary
  • Stock options
  • Unlimited vacation
  • Full healthcare benefits. 
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