We are seeking a Senior DataOps Engineer to own data analytics infrastructure at Smile Digital Health, bridging DevOps and data engineering by provisioning and hardening cloud infrastructure, automating CI/CD workflows, and operating Spark-based and Big Data systems.
Requirements
- 6+ years in a DevOps, DataOps, or data platform engineering role
- Hands-on experience with Apache Spark and at least one managed Spark platform
- Proficiency in Python; solid working knowledge of Java or Scala applications
- Experience with pipeline orchestration tools such as Apache Airflow
- Strong CI/CD experience with GitLab CI, Jenkins, or GitHub Actions
- Infrastructure-as-code proficiency with Terraform, Ansible, or equivalent
- Solid experience operating Linux systems and public cloud environments
- Familiarity with Kubernetes or other container orchestration platforms for data workloads
- Ability to manage multiple workstreams in parallel with strong attention to delivery timelines
- Customer-first mindset with strong written and verbal communication skills
Benefits
- Remote Work Environment
- Flexible Time Away From Work Policy including PTO, Personal and Sick Days
- Competitive Salary and Health/Medical Benefits
- RRSP/TFSA/401K Employee Contribution
- Life and Disability
- Employee Assistance Program
- FHIR Study Program and Skillsoft Learning
- Super HAPI Fun Club