Senior Data Engineer, GCP Data Pipelines & ETL

CVS Health; Raleigh (NC); On-site; USD 83,000 - 222,000; Full time

Job summary

CVS Health is hiring a Senior Data Engineer to design, build, and support data engineering solutions on Google Cloud Platform, enabling analytics and downstream application consumption. You will handle data ingestion, transformation, and integration with Oracle, PostgreSQL, and SQL Server, focusing on scalable pipelines.

You will work with BigQuery, Dataflow, Spanner, and other GCP services, tune performance, monitor Compute Engine VMs, and collaborate with senior engineers and architects to

Qualifications

• 5+ years in data/ software engineering or database development.
• 3+ years with Google Cloud Platform products, especially BigQuery/Dataflow/Spanner.
• Strong experience with Oracle, PostgreSQL, SQL Server.
• Proficient in Unix/Linux and shell scripting; SQL development skills.

Responsibilities

• Design, develop, and maintain data pipelines using GCP services for batch and streaming data.
• Build and support ETL/ELT workflows across multiple databases.
• Develop and optimize BigQuery datasets, tables, partitioning, and clustering.
• Implement and tune Dataflow pipelines for transformation and movement.
• Monitor Compute Engine VMs and other GCP resources; ensure performance.
• Triage data quality issues and participate in Agile/JIRA processes.

Skills

Data pipelines

ETL/ELT

Unix/Linux

SQL

Shell scripting

Agile/JIRA

Education

Bachelor's degree or equivalent experience

Tools

BigQuery

Dataflow

Cloud Spanner

Oracle

PostgreSQL

SQL Server

Compute Engine

Cloud Storage

Cloud Composer

Pub/Sub

Job description

CVS Health is hiring a Senior Data Engineer to design, build, and support data engineering solutions on Google Cloud Platform, enabling analytics and downstream application consumption. You will handle data ingestion, transformation, and integration with Oracle, PostgreSQL, and SQL Server, focusing on scalable pipelines.

You will work with BigQuery, Dataflow, Spanner, and other GCP services, tune performance, monitor Compute Engine VMs, and collaborate with senior engineers and architects to