Senior GCP Data Engineer — BigQuery & Dataflow

CVS Health; Utah; Hybrid; USD 83,000 - 222,000; Full time

Job summary

CVS Health is seeking a Senior Data Engineer to design, build, and support scalable data pipelines on Google Cloud Platform. You will work with BigQuery, Dataflow, Spanner, and integrate with Oracle, PostgreSQL, and SQL Server to enable analytics and reporting.

The role emphasizes ETL/ELT development, data warehousing concepts, and operating in Unix/Linux environments with Agile/JIRA workflows. This is a full‑time position in Utah with competitive benefits.

Qualifications

• 5+ years in data/software engineering or database development.
• 3+ years with Google Cloud Platform products (BigQuery, Dataflow, Spanner).
• Strong experience with Oracle, PostgreSQL, SQL, and other relational DBs.
• Proficient in Unix/Linux and shell scripting.
• Experience with ETL tools like Informatica and batch schedulers like Control‑M.
• Knowledge of data warehousing concepts and SQL optimization.
• Familiarity with Agile/JIRA processes and DevOps practices.

Responsibilities

• Design, build, and support data pipelines on GCP for batch and streaming data.
• Develop and optimize BigQuery datasets, tables, and partitioning for analytics.
• Implement ETL/ELT workflows across Oracle, Spanner, SQL Server, and PostgreSQL.
• Tune Dataflow pipelines and manage Cloud storage, IAM, and other GCP services.
• Monitor Compute Engine VMs, and support end‑to‑end data workflows.
• Collaborate with senior engineers on performance tuning and data model design.
• Troubleshoot data pipeline failures and ensure data quality across the stack.

Skills

GCP (BigQuery/Dataflow)

Spanner

Oracle

PostgreSQL

SQL

ETL/ELT

Informatica

Unix/Linux

Control-M

Data warehousing

JIRA/Agile

IAM/Cloud Storage

Education

Bachelor’s degree or equivalent experience

Tools

Informatica

Control-M

BigQuery

Dataflow

Spanner

Oracle

PostgreSQL

SQL Server

GKE/Kubernetes

Cloud Composer

Job description

CVS Health is seeking a Senior Data Engineer to design, build, and support scalable data pipelines on Google Cloud Platform. You will work with BigQuery, Dataflow, Spanner, and integrate with Oracle, PostgreSQL, and SQL Server to enable analytics and reporting.

The role emphasizes ETL/ELT development, data warehousing concepts, and operating in Unix/Linux environments with Agile/JIRA workflows. This is a full‑time position in Utah with competitive benefits.