Overview

Ever wondered what happens behind the scenes when millions of users interact with cutting-edge apps across health, education, and entertainment? At Ruby Labs, we build consumer products that people actually love using every day, and we rely heavily on data to make those magic moments happen. We are searching for a talented Data Analytics Engineer to join our team on a fully remote basis from anywhere in the world. If you enjoy taking messy, raw data and turning it into a pristine, reliable foundation that drives real business decisions, you will fit right in.

Key Responsibilities

Design, build, and maintain robust dbt models spanning staging, core, and marts layers based on evolving business needs.
Develop scalable SQL transformations and optimize query performance inside modern cloud data warehouses like BigQuery and ClickHouse.
Ensure uncompromising data quality by implementing rigorous validation checks, monitoring, and clear documentation.
Act as the vital bridge between raw data ingestion and end users by collaborating closely with analysts, software engineers, and product teams.
Transform ambiguous business requirements into clean, well-modeled datasets that guarantee consistent and trustworthy reporting organization-wide.

Requirements

Proven professional experience building and scaling analytical data layers using dbt and modern SQL.
Deep hands-on experience working with cloud data warehouses such as BigQuery or ClickHouse.
Strong background in data modeling best practices, pipeline optimization, and automated data quality testing.
Exceptional communication skills and a collaborative mindset, with a knack for translating complex product needs into technical data solutions.

What You'll Gain

The ultimate flexibility of working fully remotely from anywhere around the globe.
A chance to shape the analytical infrastructure of rapidly growing consumer products touching millions of lives.
A culture that values autonomy, continuous learning, and direct impact over rigid bureaucracy.