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# DataOps Engineer

- **Company:** RYAN SMILEY
- **Location:** United States (Remote available)
- **Experience:** Expert
- **Salary:** $115,000.0 - $130,000.0
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Airflow, Amazon Web Services, Microsoft Azure, Cloud Computing, System Configuration, Continuous Integration, Data Infrastructure, Linux, DevOps, Github, Python (Programming Language), Ansible, DataOps, Cloudera, Google Cloud, Fast Healthcare Interoperability Resources, Apache Spark, Cloudformation, Gitlab-ci, Kubernetes, Deployment Automation, Data Management, Terraform, Oracle Cloud Infrastructure, Data Pipelines, Amazon Elastic Mapreduce (EMR), Jenkins, Databricks
- **Published:** July 25, 2026
- **Apply:** https://jobs.lever.co/smiledigitalhealth/457a1466-2210-433d-857c-aa8b664f5bc3/apply?lever-origin=applied&lever-source%5B%5D=BuiltInNationwide

## About the Role

* 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.

## Description

Own and operate data analytics infrastructure and CI/CD for a FHIR-based health data platform. Provision and manage cloud Spark clusters and orchestration (Airflow/Databricks/EMR), build and maintain data pipelines, automate deployments with IaC, monitor and resolve pipeline incidents, and promote DataOps best practices., 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.


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