Mozart Data

The easiest way to set up a modern data stack

Senior Backend Engineer at Mozart Data

Location
Remote / Remote
Job Type
Full-time
Experience
3+ years
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Peter Fishman
Peter Fishman
Founder

About the role

We are looking for a Backend Engineer to work with our team to help build our data platform product. This is a foundational role for our team.

Who we are: Mozart Data automates most of the work data engineers and data scientists traditionally do to spin up and run a modern data stack. For each of our customers, we manage a (Snowflake) data warehouse, build and maintain ETL pipelines, and provide an easy-to-use interface for building and scheduling data transformations, monitoring and visualizing pipelines, and cataloging and organizing their data. In this role you will (responsibilities):​

  • Own systems and features of our data-platform
  • Be a key decision maker on technical challenges
  • Work collaboratively with the product & engineering team to build a world-class product
  • Collaborate with our sales and marketing team to determine what’s best for our customers
  • Building APIs and models to extend our Django backend
  • Create synchronous and asynchronous systems that interact with our multi-tenant Snowflake data-warehouse and third-party APIs like Fivetran, Salesforce, and Google Sheets.
  • If interested, this role could include some devops as well - we use Google Cloud Platform, including AppEngine, CloudSQL, MemoryStore, and Cloud Tasks.

Qualifications:

  • 5+ years of experience as a software engineer
  • Experience working in Django
  • Experience leading teams & mentoring others
  • Has had technical ownership of product and/or features
  • Worked full-lifecycle of feature or product release
  • Startup experience is a plus
  • SaaS experience is a plus

Why you should join Mozart Data

We're bringing the power of a large data team to everyone, building an easy-to-use application for ingesting data from any source into a managed data-warehouse, exploring and annotating that data, scheduling SQL transformations, and exporting data to BI tools or other systems.