About the role

Role overview

Join Sifflet as a Backend Engineer - Monitoring to design, implement, and scale data quality monitoring capabilities.

Responsibilities

Conceive and implement new data quality controls/checks.
Build features that let users monitor their entire data stack effectively.
Evolve/scale the monitoring engine to support a growing number of customers.
Work with the broader modern data ecosystem (especially data warehouses and databases).

Requirements

2+ years in a backend engineering role (or equivalent). Data engineers transitioning to backend are welcome.
General knowledge of the modern data stack, particularly data warehouses and databases.
Willingness to learn Python if you don’t already know it.
Strong sense of ownership (from design to production) and ability to take initiative.

Nice-to-haves / additional context

Exposure to ML topics (even though the role is not an ML engineering position).

About Sifflet

Sifflet is a data quality monitoring platform company. It helps users monitor and validate data quality across their data stack by running data quality checks and scaling the underlying monitoring engine.