Senior Data Engineer

San Francisco or remote

Applications have closed

ClassDojo

Build wonderful classroom communities with parents and students

View company page

ClassDojo's goal is to accelerate humanity’s progress, by giving every child on Earth an education they love.

We started by building a network that connects teachers, children, and families. ClassDojo’s flagship app is the #1 communication app connecting K-8 teachers, children, and families, globally. They use it to share what’s happening throughout the day through photos, videos, messages, and activities. It is actively used at an unprecedented scale: in over 95% of US schools, reaching ~51 million children in ~180 countries, all built by a team of 65 people [1]). We are now beginning to use this network to give kids the best learning experiences in the world, far beyond those a standard school can provide. 

We hire for talent density. Our team comprises the most talented, entrepreneurial, and innovative teammates from around the world, with deep backgrounds in education and large scale consumer internet, including Instagram, Netflix, Dropbox, Uber, Y Combinator, and more. We’re building a company where the most talented people want to work. We believe you’ll do the best work of your life here—and you’ll pioneer the future of education, too.

What you'll do:

As a Data Engineer at ClassDojo, you'll help build the systems that will support our rapid growth. You’ll work on production code from day one, deploy often, move quickly, and have your work used by millions of students, teachers, and parents around the world every day. In addition, you’ll help us further develop our high-quality engineering culture, one that values rapid iteration, collaboration, and best practices. You will work with our data pipeline and data warehouse as well as start to move across to our data lake with Amazon and set up our infrastructure to ensure we can continue to handle the increasing volume of data.  

You might be a good fit if:

  • You're excited to get things done, in a fast-paced environment
  • You have experience with data pipelines: transforming raw production and external data into user-friendly tables
  • You have an ownership mindset: you are comfortable with both responsibility and accountability
  • You're thoughtful about creating and maintain a world-class engineering culture
  • You work well in teams and enjoy collaborating with engineers, designers and product teams
  • You are passionate about education and care about having impact on tens of millions of kids' lives with your work 

Bonus:

  • Experience using MongoDB, MySQL, Redshift, Airflow, and Athena
  • You have DevOps experience, especially on AWS
  • > 7 years of professional software experience
  • Americas timezones

 

[1] Some more context:

- ClassDojo, an app to help teachers and parents communicate better, raises $35M (TechCrunch)

- Closing the Gap Between Classrooms and Students, ClassDojo Sees Skyrocketing Usage (Crunchbase)

- ClassDojo's Second Act Comes with First Profits (TechCrunch) and Sam's note about it.

We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. In accordance with the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. We are happy to accommodate any disabilities or special needs. We are a distributed company, so we hire regardless of location, as long as you are willing to have significant hours overlap with one of the Americas time zones.

Tags: Airflow Athena AWS Data pipelines DevOps Engineering MongoDB MySQL Pipelines Redshift

Perks/benefits: Career development Startup environment Team events

Regions: Remote/Anywhere Europe
Country: United States
Job stats:  31  2  0
Category: Engineering Jobs

More jobs like this

Explore more AI, ML, Data Science career opportunities

Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.