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Posted 11 months ago

Senior Data Platform Engineer

at Good Eggs

Remote, US only

About Good Eggs

At Good Eggs, we believe feeding your family well shouldn’t come with a trade-off — be it your time, your standards, or your wallet. We’re pioneering a new way to fill your fridge, by sourcing the best food from producers we know and trust, and bringing it straight to you — all at a price the same or less than your grocery store.

We run a healthy agile engineering process with:

  • pair programming
  • test-driven development
  • continuous deployment

How you can help

We’re looking for folks who are interested in a multidisciplinary engineering environment and are excited to support the culture of data alongside a passionate, mission-driven team.

As a Data Platform Engineer, you’ll work on ingest, modeling, warehousing, BI tools, and have significant influence over the tools & processes we deliver to our customers (Analysts, Engineers, Business Leaders). We have a modern data platform and a strong team of DevOps Engineers and Full-Stack Data Analysts to collaborate with. Some of the tech involved:

  • custom code written in multiple languages (primarily Node.js/Typescript, but also Python and Go)
  • Fivetran & Segment
  • Snowflake
  • dbt
  • Mode Analytics
  • a modern, AWS-based, containerized application platform

Ideal candidates will have

  • A desire to use their talents to make the world a better place
  • 2+ years of agile software development experience including automated testing and pair programming
  • 3+ years of full time, Data experience (ETL, warehousing, modeling, supporting Analysts)
  • interest in learning and adopting new tools and techniques
  • Bachelor’s degree in computer science, computer engineering or equivalent experience

Experience in some of the following areas:

  • Node.js/Typescript, Go, Python, SQL
  • DevOps, cloud infrastructure, developer tools
  • Container-based deployments, microservice architecture

Bonus points for:

  • Previous work experience involving e-commerce, physical operations, finance, or BizOps
  • Being data-driven – ability to get insights from data
  • Experience with dimensional modeling and/or BEAM*