Senior DataOps Engineer

🕒 Maio 14

🇺🇸 Estados Unidos – Remoto (EUA)

💵 $130.000 - $160.000 / ano

⏰ Tempo Integral

🟠 Sênior

🚰 Engenheiro de Dados

🗣️🇺🇸🇬🇧 Inglês obrigatório

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Logo of Smile Digital Health

Smile Digital Health

201 - 500 funcionários

Fundada em 2016

⚕️ Seguro de Saúde

☁️ SaaS

🏢 Corporativo

💰 $30.000.000 Series B em 2023-01

Healthcare Insurance • SaaS • Enterprise

A Smile Digital Health é uma empresa especializada em interoperabilidade de dados de saúde e soluções de TI para saúde. Sua Smile Health Data Platform permite a ingestão eficiente de dados e sua transformação em recursos FHIR, aprimorando a tomada de decisões clínicas e a inteligência de negócios. Com foco em conformidade e segurança, a Smile Digital Health oferece serviços como automação de autorização prévia, padronização de troca de dados e suporte a prestadores de serviços de saúde, pagadores e trocas de informações de saúde com soluções personalizáveis e escaláveis.

Descrição

• 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.

🎯 Requisitos

• 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.

🏖️ Benefícios

• 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

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