Software Engineer - Core Data

Cronometer Software Inc; Revelstoke; Hybrid; CAD 90,000 - 110,000; Full time

Job summary

A leading nutrition technology company is seeking an experienced Software Engineer to join their Core Data Team. This role involves developing core systems that transform nutrition data into actionable insights and building scalable data pipelines. Candidates should have strong coding skills in Java or Python and experience with SQL databases. The company offers a salary range of $90,000 - $110,000 plus bonus, health benefits, and a flexible work schedule.

Benefits

Comprehensive health and dental benefits

Company RRSP

Employee Stock Option Plan

3 weeks paid time-off

Company mobile phone

Fitness device rebate

Flexible schedule and work from home options

Qualifications

• 3+ years of professional experience as software engineer.
• Strong coding skills in Java and/or Python, with a solid grasp of software design principles.
• Proficiency with SQL and experience designing and optimizing relational and analytical databases.

Responsibilities

• Develop and maintain core systems transforming nutrition data into actionable insights.
• Build reliable data pipelines transforming complex nutrition datasets.
• Create and optimize backend systems and APIs delivering insights to users.

Skills

Java

Python

SQL

Data Modeling

Software Design Principles

Tools

AWS

MySQL

Postgres

Redshift

Job description

Software Engineer - Core Data

Cronometer is the most accurate, comprehensive nutrition tracking app on the market. We empower people to make informed decisions about their health and wellness with data they can trust. With over 14 million users and growing fast, we're passionate about building world‑class tools that support better health outcomes.

We are looking for an experienced back‑end engineer to join our Core Data Team. A high‑impact team powering everything data‑related at Cronometer, from nutrition ontology and food composition modeling to ML‑driven recommendations and business insights. Operating at the intersection of backend development, data engineering and data science, with the autonomy to experiment, modernize, and shape the company’s data foundation.

You will be responsible for developing and maintaining the core systems that transform nutrition data into actionable insights, building scalable data pipelines, productionizing ML models and creating backend services that power the intelligence behind Cronometer’s products. Your work will drive smarter recommendations, deeper analytics, and more personalized experiences for our users.

We want to find a great fit with someone who wants to live our mountain lifestyle, has a passion for our mission to empower people in making informed decisions on their health & wellness, and can demonstrate the skills and talent we’ll need to take our products to the next level.

What you'll be doing

• Shape how nutrition data becomes knowledge. Work closely with data scientists to bring ML models into production to power smarter food search, recommendations, and nutrient estimation.
• Build and scale the data backbone of Cronometer. Design and maintain reliable data pipelines that transform large, complex nutrition datasets into clean, useful information powering our app and analytics.
• Develop intelligent, data‑driven services. Create and optimize backend systems and APIs (Java, Python, SQL) that deliver insights to millions of users and enable new product experiences.
• Power decisions across the company. Grow our internal data and analytics platform on AWS to improve visibility, observability, and data quality across all teams.
• Innovate at the frontier of food and AI. Experiment with LLM‑powered tools and novel data enrichment ideas through hands‑on prototyping and research.

What you bring to the table

• 3+ years of professional experience as software engineer

• Strong coding skills in Java and/or Python, with a solid grasp of software design principles
• Proficiency with SQL and experience designing and optimizing relational and analytical databases (MySQL, Postgres, Redshift, etc.)

• Familiarity with data modeling, schema evolution, and testing practices for data systems
• Ability to explain technical details clearly and work effectively across engineering, data science, and product teams
• Interest in exploring datasets, finding insights, and ability to balance research depth with delivery speed
• Ability to lead projects independently and work with a high degree of autonomy while staying aligned with team goals.

Nice to haves

• Experience with AWS data and analytics services (S3, Glue, Athena, Redshift, Aurora, SageMaker, QuickSight, Lambda, ECS, etc.)
• Experience building or maintaining data warehouses / data lakes
• Familiarity with non‑relational databases (ex: DynamoDB, MongoDB) and understanding when to use them
• Interest or experience in data quality automation, data orchestration, metadata/ontology systems or data observability tooling
• Exposure to LLM‑based automation or integrating AI/ML services into data workflows
• Understanding of ML workflows (training, evaluation, monitoring, or data prep for ML models)
• Background or strong interest in nutrition, health, or food science
• Experience working in product‑focused data teams or consumer‑facing applications

Compensation and Benefits

• Base annual salary range: $90,000 - $110,000 + employee bonus program

• Comprehensive health and dental benefits

• Company RRSP

• Employee Stock Option Plan

• 3 weeks paid time‑off

• Company Mobile phone + phone plan

• Fitness device rebate

• Flexible schedule and work from home options

• A fun, collaborative environment filled with people who love nutrition, tech and the outdoors

How to Apply

Send us your resume and a short cover letter explaining how your skills and interest align with this role and why you’re excited to work at Cronometer.