# Senior Data Engineer

**Company**: CVS Health
**Location**: Work from home, NC
**Work arrangement**: remote
**Experience**: senior
**Job type**: full-time
**Salary**: $83,430.00 - $222,480.00
**Category**: Engineering
**Industry**: Healthcare

**Apply**: https://cvshealth.wd1.myworkdayjobs.com/en-US/CVS_Health_Careers/job/NC---Work-from-home/Senior-Data-Engineer_R1084896?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/job/senior-data-engineer-9f596628-b2f/

## Description

We're building a world of health around every individual , shaping a more connected, convenient and compassionate health experience.

The Senior Data Engineer will design, build, and support data engineering solutions on Google Cloud Platform, with a focus on scalable data pipelines, database integration, and ETL processes that enable analytics, reporting, and downstream application consumption.

**Responsibilities**

- Design, develop, and maintain data pipelines using GCP services including BigQuery, Cloud Spanner, and Dataflow for batch and streaming data processing

- Build and support ETL/ELT workflows that extract, transform, and load data across Oracle, Spanner, SQL Server, PostgreSQL, and other relational databases

- Develop and optimize BigQuery datasets, tables, partitioning, and clustering strategies to support efficient querying and reporting

- Implement and tune Dataflow pipelines for data transformation, enrichment, and movement between source systems and target data stores

- Monitor and manage Compute Engine VMs, including CPU utilization, resource allocation, and performance tuning across GCP workloads

- Support and troubleshoot other core GCP technologies such as Cloud Storage, Cloud Composer, Pub/Sub, and IAM as part of end-to-end data workflows

- Apply data warehousing concepts including dimensional modeling, star/snowflake schemas, slowly changing dimensions, and data mart design

- Develop and support ETL workflows using tools such as Informatica, integrating with GCP and on-premise database systems

- Work extensively in Unix/Linux environments including shell scripting, file system navigation, permissions management, and log/file handling

- Schedule, monitor, and troubleshoot batch jobs using Control-M, ensuring timely and reliable execution of data pipelines

- Participate in Agile/JIRA-based development processes, including sprint planning, ticket tracking, status updates, and defect management

- Collaborate with senior engineers and architects on performance tuning, query optimization, and database design across multiple platforms

- Troubleshoot data pipeline failures, performance bottlenecks, and data quality issues across the stack

- Document technical designs, operational runbooks, and support procedures for the platforms being built

- Stay current with emerging AI/ML and GenAI tools and proactively apply them to improve productivity, automate repetitive tasks, and streamline development and data engineering workflows

**Requirements**

- 5+ years of experience in data engineering, software engineering, or database development

- 3+ years of hands-on experience with Google Cloud Platform (GCP) products, especially BigQuery, Cloud Spanner, and Dataflow

- Strong experience working with multiple database platforms, especially Oracle, Spanner, SQL, and PostgreSQL

- Working knowledge of Google ETL technologies and other core GCP services (Compute Engine/VMs, Cloud Storage, Cloud Composer, Pub/Sub)

- Experience with performance tuning, including CPU utilization analysis and resource optimization on GCP compute resources

- Solid understanding of data warehousing concepts (dimensional modeling, fact/dimension tables, ETL design patterns)

- Experience with ETL tools such as Informatica for data integration and transformation

- Strong Unix/Linux experience, including shell scripting and file system handling

- Experience with job scheduling tools such as Control-M

- Strong SQL development skills and ability to write/optimize complex queries

**Benefits**

- Medical, dental, and vision coverage

- Paid time off

- Retirement savings options

- Wellness programs

- Other resources, based on eligibility

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## Skills

### Required
- Google Cloud Platform
- BigQuery
- Cloud Spanner
- Dataflow
- Oracle
- PostgreSQL
- SQL Server
- Unix/Linux
- Informatica
- Control-M
- SQL

### Nice to have
- MongoDB
- MySQL
- Cassandra
- Cloud Composer
- Kafka
- Pub/Sub
- Terraform
- Infrastructure as Code
- GKE/Kubernetes
- CDC tools
- Agile/SAFe
- GCP certification

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Source: [Apply at cvshealth.wd1.myworkdayjobs.com](https://cvshealth.wd1.myworkdayjobs.com/en-US/CVS_Health_Careers/job/NC---Work-from-home/Senior-Data-Engineer_R1084896?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)