Senior Data Engineer – GCP

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

At CVS Health, you'll be surrounded by colleagues who care deeply, innovate with purpose, hold themselves accountable and prioritize safety and quality in everything they do.

Position Summary

We are seeking a highly skilled Senior Data Engineer – GCP to lead the design, development, modernization, and support of the Stop Loss Reporting Platform.

This role will be responsible for building scalable, cloud-native data solutions on Google Cloud Platform (GCP) that support regulatory reporting, financial reporting, operational analytics, data governance, and enterprise reporting capabilities.

The Senior Data Engineer will play a critical role in modernizing legacy reporting processes, improving data quality and governance, enabling near real-time reporting, and supporting strategic data initiatives across the Stop Loss business.

The ideal candidate will bring deep expertise in GCP technologies, Python-based data engineering, distributed data processing, and large-scale enterprise data platforms.

Required Qualifications

• 5+ years of experience in Data Engineering, Data Platform Development, and Enterprise Reporting.
• 3+ years of hands-on experience with Google Cloud Platform (GCP).
• Strong expertise in BigQuery, Dataflow, Dataproc, Pub/Sub, Cloud Storage, and Composer.
• Advanced Python development experience for data engineering, automation, API development, data transformation, orchestration, and analytics workloads.
• Strong SQL development and query optimization skills.
• Experience with Apache Spark and PySpark.
• Experience designing and developing scalable ETL/ELT pipelines.
• Experience with data modeling, dimensional modeling, and large-scale data warehousing solutions.
• Experience with real-time data processing, event-driven architectures, and data integration frameworks.
• Strong understanding of data governance, security, compliance, and data quality controls.
• Experience with Git, CI/CD, Terraform, Docker, Kubernetes, and DevOps practices.
• Strong analytical, troubleshooting, and problem-solving skills.
• Experience supporting mission-critical production applications and reporting platforms.

Preferred Qualifications

• GCP Professional Data Engineer Certification.
• Experience supporting healthcare, insurance, financial, or regulatory reporting platforms.
• Experience with Kafka, CDC, and streaming architectures.
• Experience building cloud-native data lake, Lakehouse, or analytics platforms.
• Exposure to AI/ML data platforms and advanced analytics solutions.
• Experience with modern data architecture patterns and enterprise-scale cloud migrations.

Education

• Bachelor's degree in Computer Science, Engineering, Information Systems, or related field.
• Masters in Computer science

Anticipated Weekly Hours

40

Time Type

Full time

Pay Range

The typical pay range for this role is: $101,970.00 - $203,940.00

Benefits

This full-time position is eligible for a comprehensive benefits package designed to support the physical, emotional, and financial well-being of colleagues and their families.

The benefits for this position include medical, dental, and vision coverage, paid time off, retirement savings options, wellness programs, and other resources, based on eligibility.