Senior Cloud Data Engineer: BigQuery, Dataflow & ETL

CVS Health; United States; Remote; USD 83,000 - 222,000; Full time

Benefits offered by this job

Medical, dental, and vision coverage

Paid time off

Retirement savings

Wellness resources

Job summary

CVS Health is seeking an experienced data engineer to design, build, and support data pipelines and platform services for analytics and reporting. You will work with Google Cloud data services and integrate across cloud and enterprise databases to ensure reliability and performance.

Responsibilities include developing batch and streaming pipelines, ETL/ELT workflows, tuning BigQuery, and collaborating with engineers to improve the platform. A strong Unix/Linux and Agile background is valued.

Qualifications

• Five or more years of experience in data engineering, software engineering, or database development.
• At least three years of hands-on Google Cloud experience, especially BigQuery, Cloud Spanner and Dataflow.
• Experience with multiple databases (Oracle, Spanner, SQL, PostgreSQL) and ETL tools such as Informatica; cloud services like Compute Engine, Cloud Storage, Composer, Pub/Sub.

Responsibilities

• Develop batch and streaming pipelines using BigQuery, Cloud Spanner, and Dataflow.
• Build and maintain ETL/ELT workflows across cloud and relational databases (Oracle, PostgreSQL, SQL Server).
• Optimize BigQuery storage and query performance via partitioning and clustering design.
• Monitor and troubleshoot cloud workloads, pipeline failures, data quality issues.
• Support cloud services used in end-to-end workflows (Compute Engine, Cloud Storage, Composer, Pub/Sub, IAM, Informatica, Control-M).
• Apply data warehousing practices and document designs and operational procedures.

Skills

Unix/Linux

Shell scripting

Batch scheduling

Agile delivery

Dimensional modeling

Tools

BigQuery

Dataflow

Cloud Spanner

Informatica

Compute Engine

Cloud Storage

Composer

Pub/Sub

Job description

CVS Health is seeking an experienced data engineer to design, build, and support data pipelines and platform services for analytics and reporting. You will work with Google Cloud data services and integrate across cloud and enterprise databases to ensure reliability and performance.

Responsibilities include developing batch and streaming pipelines, ETL/ELT workflows, tuning BigQuery, and collaborating with engineers to improve the platform. A strong Unix/Linux and Agile background is valued.