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# Senior Data Engineer (Requiring GCP)

- **Company:** CVS Health
- **Location:** Farmers Branch, TX, United States
- **Experience:** Expert
- **Salary:** $92,700.0 - $203,940.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Airflow, Automation of Tests, BigQuery, Cloud Computing, Cloud Database, Cloud Engineering, Cloud Storage, Information Engineering, Extract Transform Load (ETL), Dataspaces, Database Queries, DevOps, Distributed Computing Environment, Data Flow Control, Github, Python (Programming Language), PostgreSQL, Machine Learning, Performance Tuning, Cloudera, Data Processing, Google Cloud, Delivery Pipeline, Apache Spark, Generative AI, Backend, Containerization, Kubernetes, Information Technology, Machine Learning Operations, Data Pipelines, Serverless Computing, Apache Beam, Docker, Jenkins
- **Published:** June 9, 2026
- **Apply:** https://dejobs.org/x/x/6EEE498670984621AC37AFE0EB02133D/job/

## About the Role

* 4+ years of industry experience in cloud engineering, data engineering, or platform engineering
 * Hands-on experience with Google Cloud Platform services (BigQuery, Composer/Airflow, Dataproc, Cloud Storage)
 * Experience building and deploying backend APIs and cloud-native services
 * Solid expertise with containerization and orchestration (Docker, Kubernetes, GKE)
 * Proficiency in Python for data processing, orchestration, or backend services
 * Strong SQL skills, particularly with BigQuery or similar cloud data warehouses
 * Experience building and operating data pipelines and ETL/ELT workflows in a production environment
 * Experience building and maintaining CI/CD pipelines (e.g., GitHub Actions, Jenkins), including automated testing and environment promotion
 * Understanding of infrastructure-as-code, cloud reliability, and production incident response
 * Experience enabling adoption of GenAI capabilities with production-ready deployment and governance patterns
 * Self-directed problem solver willing to read documentation, research solutions, and reach out across teams to drive results
 * Strong communication skills, including the ability to explain technical concepts to non-technical stakeholders
 * Bachelor's degree in computer science, engineering, or related field, * Experience with Vertex AI (pipelines, model deployment, batch/online inference, or GenAI integration)
 * Practical MLOps experience, including model serving, monitoring, and retraining workflows
 * Experience with distributed data processing frameworks such as Apache Spark or Apache Beam (Dataproc, Dataflow)
 * Experience with Cloud SQL/PostgreSQL and performance optimization for analytical serving patterns
 * Familiarity with healthcare or insurance data ecosystems, or other regulated environments
 * Experience improving platform reliability through observability, documentation, and operational playbooks
 * Experience optimizing cloud infrastructure for cost, performance, and resiliency
 * Experience building internal tools or product-facing analytics applications
 * Advanced degree in computer science, engineering, or related field, * Bachelor's Degree or equivalent work experience required

## Description

We seek a highly skilled Senior Cloud Engineer to join our Medicare Member Experience (MX) data science team. In this role, you will build and maintain the cloud infrastructure, data pipelines, and deployment workflows that turn our team's machine learning models into reliable, production-grade services that support STARS ratings. You will work across three key areas: cloud data engineering on Google Cloud Platform, backend API development, and DevOps/container orchestration. You will collaborate with data scientists, product owners, and business stakeholders to deliver scalable, well-architected solutions that move insights from development to production.


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