Manager, Cloud and Data Platform Engineer

CVS Health

Confirmed live today High trust
Remote

Quick summary

Work type
Remote
Location
RINCGAINAZOHMIMOTNTXVA
Employment
Full-time
Posted
7 days ago
Freshness
Confirmed live today
Closes
Nov 4, 2026

Market check

Salary context

How this pay compares to similar roles

Similar $189k
$136k $239k
below market most similar roles pay here above market

This listing doesn't post a salary. Most similar roles pay $156,245–$222,625.

Based on 240 similar postings.

Employer

About CVS Health

CVS Health is a leading American healthcare company operating retail pharmacies, pharmacy benefit management services, and a health insurance segment through Aetna, one of the nation''s largest health insurers. Industry: Healthcare & Pharmacy

CVS Health currently has 119 open roles on FindRole.

Listed pay typically runs $106,605–$260,590 across 115 roles with salary data.

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View all roles at CVS Health

At a glance

TL;DR · Manager, Cloud and Data Platform Engineer

The Manager, Cloud and Data Platform Engineer owns the Retail Resource Center’s application and data technology stack within the Google Cloud environment. This role involves managing application deployment, cloud infrastructure, and data pipelines to ensure reliability, security, and scalability. Key responsibilities include managing Cloud Run services, Google Kubernetes Engine clusters, Redis databases, and BigQuery datasets. The engineer will design and maintain CI/CD pipelines using Cloud Build and GitHub Actions, develop batch and streaming data pipelines, and manage infrastructure as code. Required skills include proficiency in Python, SQL, Docker, and Kubernetes, alongside experience with IAM and Secret Manager. The position specifically addresses the technical challenge of providing trusted analytics and operational efficiency by implementing data quality checks, lineage, and AI-driven automation for workflows and development.

What you'll do

  • Own the application and data technology stack in Google Cloud, including GKE, Cloud Run, and BigQuery.
  • Design and maintain CI/CD pipelines for application and data workloads using Cloud Build or GitHub Actions.
  • Build and manage batch and streaming data pipelines to ingest data into BigQuery.
  • Develop the analytics data layer by designing datasets and SQL-based transformations for reporting.
  • Implement infrastructure as code to automate provisioning and environment setup across all stages.
  • Manage data governance, security controls, and IAM roles to ensure compliance and data privacy.
  • Monitor platform health by implementing logging, tracing, alerting, and service level dashboards.
  • Develop AI agents to automate workflows and accelerate development across infrastructure and applications.

What we're looking for

  • 3+ years of experience in DevOps, site reliability, cloud, platform, or data engineering.
  • Hands-on production experience with Google Cloud Platform (Cloud Run, GKE, Redis, BigQuery) and production data pipelines.
  • Working knowledge of Google Cloud services including Cloud Run, GKE, Redis, BigQuery, and IAM.
  • Strong understanding of Kubernetes and Docker.
  • Experience with infrastructure as code and CI/CD pipelines.
  • Proficiency in at least one scripting or programming language (e.g., Python) and strong SQL skills.
  • Experience leveraging AI tools to support development and automation.
  • Experience designing and operating data pipelines and ETL/ELT workflows, including orchestration, data modeling, and data quality practices.
  • Strong problem solving, troubleshooting, and decision making skills.
  • Clear written and verbal communication skills.
  • Google Cloud certification (preferred).
  • Experience with GitOps tooling, event-driven architectures, or API gateways (preferred).
  • Experience with Cloud Composer/Airflow and BI tools such as PowerBI (preferred).
  • Experience developing AI agents to automate workflows and accelerate delivery (preferred).
  • Bachelor's degree in Computer Science, Information Technology, or a related field, or equivalent practical experience (preferred).

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