Senior DataOps Engineer

Role Description

The DataOps Engineer owns data analytics infrastructure at Smile Digital Health: from build and deployment pipelines through to large-scale data processing and analytics environments. This role bridges DevOps and data engineering by provisioning and hardening cloud infrastructure, automating CI/CD workflows, and operating the Spark-based and Big Data systems that power both our internal platform and customer deployments.

• Build, maintain, and run CI/CD pipelines and infrastructure-as-code for the Smile Digital Health platform and associated services.
• Provision, configure, and operate cloud-based Spark clusters and distributed data processing environments, including hands-on work with orchestration tools such as Airflow, Databricks, or EMR.
• Write, test, and maintain data pipelines on the same infrastructure you manage, from environment setup through to production monitoring.
• Design and maintain scalable, secure infrastructure templates and deployment automation across AWS, Azure, GCP, or OCI environments.
• Investigate and resolve data pipeline and integration issues, providing root-cause analysis and durable fixes.
• Monitor running systems and pipelines, respond to incidents, tune performance, and manage cloud infrastructure costs.
• Foster an Everything-as-Code culture and promote DataOps best practices across the team.
• Assist developers and engineers with deployments and builds as needed.

Qualifications

• 6+ years in a DevOps, DataOps, or data platform engineering role.
• Hands-on experience with Apache Spark and at least one managed Spark platform (Databricks, AWS EMR, GCP Dataproc, or equivalent).
• Proficiency in Python; solid working knowledge of Java or Scala applications.
• Experience with pipeline orchestration tools such as Apache Airflow, Prefect, or similar.
• Strong CI/CD experience with GitLab CI, Jenkins, or GitHub Actions.
• Infrastructure-as-code proficiency with Terraform, Ansible, or equivalent (AWS CloudFormation and Azure ARM Templates are a plus).
• Solid experience operating Linux systems and public cloud environments (AWS, Azure, GCP, or OCI).
• 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.

Requirements

• $115,000 - $130,000 a year

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