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 Boxed.com is now a world-class suite of SaaS products, powered by advanced analytics and machine learning. Retailers and 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, and Personalization. Being part of Boxed’s Engineering team means you’ll work with wicked-smart individuals from all over the world who contribute as engineers, product managers, designers, and data scientists. Every day our Engineering team innovates in the depths of e-commerce with the latest technologies and we’re excited to welcome engineers who are ready for a challenge and know how to think outside the box!

 

As a Senior Data infrastructure Engineer, you will be responsible for implementing and maintaining our platform data infrastructure to facilitate the company's data-powered feature/product development.  The Data Engineering team builds scalable and reusable data infrastructure in-house including functions such as ETL event streaming and CDC from transactional to analytical data-stores. We are looking for engineers with solid software development experience with a variety of server-side technologies and are determined self-starters with a strong passion for technology innovation.

You will:

  • Architect and code data infrastructure services and applications to enable teams to produce/consume quality analytical data.
  • Scale our ETL pipelines with the growing data needs of our company
  • Work with Engineering, Product, Data Science and Analytics teams to understand the data needs of the business.
  • Create tools and prepare data for data scientists and analysts to enable them to effectively produce insights and predictions
  • Identify, design, and implement internal process/system improvements -- optimizing performance, reliability, and scalability of our existing systems
  • Write clear documentation as well as unit tests to ensure code reliability and ease of maintenance
  • Perform stress and load testing across various core services

Requirements:

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

Benefits & Perks:

  • Working with smart, positive people
  • Competitive Base Salary = $160,000 to $200,000 per year
  • Stock options
  • Unlimited vacation
  • Healthcare benefits. 

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