Software Engineer - Core Data

Job Description

Senior Backend Engineer (Core Data Systems)

Role:
Software Engineer – Core Data Infrastructure

Location:

Revelstoke, BC - 3 days/per week onsite, no remote – must be willing to relocate (relocation package available)
Industry: Digital Health & Nutrition Technology

Operating at the intersection of backend development and data engineering, you will shape the company’s data foundation. You will be responsible for developing systems that transform complex datasets into actionable insights, building scalable pipelines, and product ionizing ML models to power intelligent product features.

• Productionize Intelligence:
  Work with data scientists to bring ML models into production for smarter search, recommendations, and predictive estimation.
• Data Backbone Architecture:
  Design and maintain reliable pipelines that transform large‑scale datasets into clean, usable information for app and analytics layers.
• Service Development:
  Create and optimize backend services and APIs (Java, Python, SQL) to deliver insights to a global user base.
• Internal Analytics:
  Expand the internal data platform on a cloud provider to improve visibility, observability, and data quality across the organization.
• AI Innovation:
  Experiment with LLM‑powered tools and novel data enrichment strategies through hands‑on prototyping.

• Experience:
  
  3+ years of professional software engineering experience.
• Coding:
  Strong proficiency in Java and/or Python with a solid grasp of software design principles.
• Database Mastery:
  Proficiency with SQL and experience optimizing relational/analytical databases (e.g., MySQL, Postgres, Redshift).
• Data Lifecycle:
  Familiarity with data modeling, schema evolution, and rigorous testing practices.
• Soft Skills:
  
  Ability to explain technical details clearly and lead projects independently with a high degree of autonomy.

Preferred Skills (Nice to Haves)

• Experience with Cloud Data Services (S3, Glue, Athena, Sage Maker, etc.).
• Background in building or maintaining data warehouses/lakes and non‑relational databases.
• Experience in data quality automation, orchestration, or observability.
• Exposure to ML workflows (training, evaluation, monitoring) or LLM integration.
• A personal interest in health, nutrition, or food science.

• Base Salary:
  Competitive annual salary range ($90k - $110k+) plus bonus program.
• Equity:
  Employee Stock Option Plan.
• Benefits:
  Comprehensive health/dental, retirement savings matching, and 3 weeks PTO.
• Perks:
  Mobile phone plan, fitness rebates, and flexible work‑from‑home options.
• Culture: A collaborative environment built by people who value technology, wellness, and the outdoors.

Randstad Canada is committed to fostering a workforce reflective of all peoples of Canada. As a result, we are committed to developing and implementing strategies to increase the equity, diversity and inclusion within the workplace by examining our internal policies, practices, and systems throughout the entire lifecycle of our workforce, including its recruitment, retention and advancement for all employees. In addition to our deep commitment to respecting human rights, we are dedicated to positive actions to affect change to ensure everyone has full participation in the workforce free from any barriers, systemic or otherwise, especially equity‑seeking groups who are usually underrepresented in Canada’s workforce, including those who identify as women or non‑binary/gender non‑conforming;
Indigenous or Aboriginal Peoples; persons with disabilities (visible or invisible) and; members of visible minorities, racialized groups and the LGBTQ2+ community.

Randstad Canada is committed to creating and maintaining an inclusive and accessible workplace for all its candidates and employees by supporting their accessibility and accommodation needs throughout the employment lifecycle. We ask that all job applications please identify any accommodation requirements by sending an email to  to ensure their ability to fully participate in the interview process.