Senior Data Engineer

CVS Health is seeking a Senior Data Engineer to help lead the design, development, modernization, and ongoing support of the Stop Loss Reporting Platform on Google Cloud Platform (GCP). This role will focus on scalable, cloud-native data capabilities that support regulatory, financial, operational analytics, governance, and enterprise reporting with near real-time support.

Role Overview

As a Senior Data Engineer, you will partner with teams to modernize legacy reporting processes and deliver data solutions that strengthen data quality, governance, and reporting performance. The role emphasizes scalable analytics and reporting across regulatory, financial, operational, and enterprise use cases.

Key Responsibilities

• Lead the design, development, modernization, and support of the Stop Loss Reporting Platform.
• Build scalable, cloud-native data solutions on Google Cloud Platform (GCP) for regulatory reporting, financial reporting, operational analytics, data governance, and enterprise reporting.
• Modernize legacy reporting processes.
• Improve data quality and governance controls.
• Enable near real-time reporting capabilities.
• Support strategic data initiatives across the Stop Loss business.

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 with 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.

Technologies

• Google Cloud Platform (GCP)
• BigQuery
• Dataflow
• Dataproc
• Pub/Sub
• Cloud Storage
• Composer
• Python
• SQL
• Apache Spark and PySpark
• Git, CI/CD
• Terraform, Docker, Kubernetes
• DevOps

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

Compensation and Work Details

• Location: Hartford, CT (onsite)
• Pay range: USD 101,970 - 203,940 per year
• Bonus eligibility: The position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above.
• Weekly hours: 40
• Time type: Full time

Benefits

• Medical, dental, and vision coverage
• Paid time off
• Retirement savings options
• Wellness programs
• Comprehensive benefits package designed to support the physical, emotional, and financial well-being of colleagues and their families