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 passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger - helping to simplify health care one person, one family and one community at a time.
Position SummaryWe are seeking a highly skilled Senior Software Development Engineer/Google Cloud Platform Data Engineering resource to serve as the senior engineer for enterprise data platforms supporting AI-driven insights, member communications. This role requires deep hands-on expertise in Google Cloud Platform, combined with strong technical leadership, data architecture ownership, and cross-team collaboration.
As a Data Engineering Lead , you will lead complex data engineering initiatives across Google Cloud Platform, set engineering standards, and partner closely with architects, product owners, and business stakeholders to deliver scalable, secure, and high-performance data solutions in a regulated healthcare environment.
Key Responsibilities Technical Leadership:
Act as the senior technical lead for Project Data Assets in Google Cloud Platform data platform , owning data engineering standards, and complex implementation decisions across batch and streaming pipelines.
Healthcare & Compliance:
Ensure data solutions comply with healthcare and regulatory standards (e.g., HIPAA, PCI-DSS, GDPR), implementing secure access, encryption, and governance controls.
Architecture & Design:
Design scalable data pipelines using Google Cloud Platform services (BigQuery, Dataflow, Pub/Sub, Composer), supporting analytics, reporting, and AI/ML workloads.
Data Engineering & Pipelines:
Develop and maintain data pipelines for batch and real-time data ingestion, transformation, and delivery using Python, Spark, and Google Cloud Platform-native technologies.
Performance & Reliability:
Optimize performance, scalability, and reliability of large-scale data pipelines, implementing monitoring, logging, and failure recovery mechanisms.
Mentorship & Governance:
Mentor onshore and offshore engineers, conduct design/code reviews, and enforce best practices in data engineering, DevOps, Production Support team onshore and offshore.
Core Development Skills Google Cloud Platform Data Platform Development:
Hands-on development using BigQuery, Cloud Dataflow, Pub/Sub, Cloud Composer (Airflow), and Cloud Functions to build scalable data pipelines.
Data Engineering & Pipelines:
Build and manage batch and streaming pipelines using Python, PySpark, SQL, and Apache Beam for high-volume data processing.
Integrations & APIs:
Implement event-driven architectures using Pub/Sub/Kafka and integrate with multiple systems (Cloud SQL, Firestore, MongoDB, external APIs).
CI/CD & DevOps:
Able to use enterprise configured CI/CD pipelines using GitHub Actions, Jenkins, and Cloud Build; implement infrastructure as code using Terraform.
Performance Optimization:
Optimize SQL queries, partitioning strategies, and pipeline performance for large-scale datasets and real-time processing.
AI & Advanced Analytics Enablement:
Support AI/ML pipelines using Vertex AI, BigQuery ML, and advanced data orchestration tools for analytics use cases.
Required Qualifications- 5+ years of professional software/data engineering experience with strong hands-on experience in Google Cloud Platform
- 3+ years building and managing large-scale data pipelines (batch + streaming)
- 3+ years strong expertise in: Python, SQL, Spark/PySpark, BigQuery, Dataflow, Pub/Sub, Cloud Composer
- 3+ years experience with CI/CD, DevOps, and infrastructure as code (Terraform)
- 3+ years experience working in Agile/Scrum environments
- 3+ years of data architecture, data modeling, and distributed systems
Preferred Qualifications - Experience in Healthcare, Insurance
- Experience with MongoDB atlas
- Experience working on large-scale analytics or AI-driven platforms
- Familiarity with data governance tools and frameworks (Data Catalog, lineage, quality frameworks)
- Exposure to streaming technologies (Kafka, Pub/Sub)
- Experience with visualization tools such as Looker, Tableau, or Power BI
EducationBachelor's degree or equivalent experience (HS diploma + 4 years relevant experience)
Anticipated Weekly Hours40
Time TypeFull time
Pay RangeThe typical pay range for this role is:
$92,700.00 - $185,400.00
This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls. The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors. This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above.
Our people fuel our future. Our teams reflect the customers, patients, members and communities we serve and we are committed to fostering a workplace where every colleague feels valued and that they belong.
Great benefits for great peopleWe take pride in offering a comprehensive and competitive mix of pay and benefits that reflects our commitment to our colleagues and their families.
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.
Additional details about available benefits are provided during the application process and on Benefits Moments.
We anticipate the application window for this opening will close on: 06/03/2026
Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.
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