Software Engineer

Join to apply for the Software Engineer - Core Data role at Cronometer 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. While we value in‑person collaboration in Revelstoke, we are a remote‑friendly company and are open to hybrid or fully remote candidates located in British Columbia. 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. Responsibilities 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. Qualifications 5+ 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. #J-18808-Ljbffr