Data-Driven Backend Engineer, Core Data Team — Remote

Cronometer Software Inc; Revelstoke; Presencial; CAD 90.000 - 120.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Health and dental benefits

Employee stock options

3 weeks paid time-off

Company mobile phone + phone plan

Fitness device rebate

Flexible schedule and work from home

Descripción de la vacante

Cronometer Software Inc. is seeking a Software Developer for our Core Data Team in Revelstoke (remote considered for right candidate).

You will build and maintain data pipelines, back-end services, and ML-powered features that transform nutrition data into actionable insights, powering Cronometer’s search, recommendations, and analytics. You will collaborate with data scientists and engineers to productionize ML models, design reliable data models, and scale our data backbone on AWS, while

Formación

• 3+ years of professional software engineering experience.
• Strong coding in Java and/or Python with solid design principles.
• Experience delivering high-quality software using modern tooling.
• Proficiency with SQL and relational/analytical DB design.
• Ability to explain technical details clearly and collaborate across teams.
• Interest in exploring datasets and delivering fast results.

Responsabilidades

• Shape how nutrition data becomes knowledge and bring ML models to production.
• Build and scale the data backbone and data pipelines.
• Develop intelligent backend services and APIs delivering insights.
• Grow internal data/analytics platform on AWS for visibility and quality.
• Experiment with LLM-powered tools and data enrichment ideas.
• Own code changes through production with frequent releases.

Conocimientos

Java

Python

SQL

Data modelling

Backend services

ML integration

Cloud data pipelines

Herramientas

AWS

MySQL

PostgreSQL

Redshift

SageMaker

Glue

Athena

QuickSight

Descripción del empleo

Cronometer Software Inc. is seeking a Software Developer for our Core Data Team in Revelstoke (remote considered for right candidate).

You will build and maintain data pipelines, back-end services, and ML-powered features that transform nutrition data into actionable insights, powering Cronometer’s search, recommendations, and analytics. You will collaborate with data scientists and engineers to productionize ML models, design reliable data models, and scale our data backbone on AWS, while