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At CVS Health, we’re building a world of health around every consumer and surrounding ourselves with dedicated colleagues who are passionate about transforming health care.

As the nation’s leading health solutions company, we reach millions of Americans through our local presence, digital channels and more than 300,000 purpose-driven colleagues – caring for people where, when and how they choose in a way that is uniquely more connected, more convenient and more compassionate. And we do it all with heart, each and every day.

Position Summary

We are seeking a highly skilled Staff Software Engineer with deep expertise in Google Cloud Platform (GCP), BigQuery, and PySpark to design, develop, and optimize large-scale data processing solutions. In this role, you will lead the architecture and implementation of data pipelines, ensuring high performance, scalability, and reliability for advanced analytics and machine learning workloads. You will collaborate closely with cross-functional teams, including data engineers, data scientists, and product stakeholders, to deliver robust, cloud-native solutions that drive business insights and innovation.

Key Responsibilities

+ Design and implement scalable data pipelines using PySpark and BigQuery on GCP.

+ Optimize query performance and cost efficiency for large datasets.

+ Lead the development of data models, ETL processes, and data quality frameworks.

+ Ensure compliance with security, governance, and best practices for cloud-based data solutions.

+ Mentor junior engineers and contribute to technical strategy and architecture decisions.

Required Qualifications

+ 7+ years of overall experience in large-scale software development with at least 2+ years of experience in a technical lead role

+ 4+ years of hands-on experience with GCP services like BigQuery, Dataflow, Pub/Sub, and Cloud Storage

+ 4+ years of containerization (Docker, Kubernetes) and CI/CD for data pipelines

+ 7+ years of experience developing within an agile development ​

+ Strong proficiency in GCP services (BigQuery, Dataflow, Pub/Sub, Cloud Storage).

+ Advanced experience with PySpark for distributed data processing.

+ Expertise in SQL and performance tuning for large-scale analytics.

+ Solid understanding of data engineering principles, including data modeling, ETL, and pipeline orchestration.

+ Familiarity with CI/CD, containerization (Docker), and orchestration tools (Airflow, Composer).

+ Design, develop, and optimize data pipelines on GCP using BigQuery, Dataflow, and Pub/Sub

+ Develop real-time and batch data ingestion frameworks using Kafka

+ Work with NoSQL databases (e.g., Firestore, Cassandra, MongoDB) to support high-throughput data applications

+ Ensure data integrity, governance, and security best practices in the data pipeline

+ Optimize performance, scalability, and cost efficiency of data solutions

+ Collaborate with data scientists, analysts, and software engineers to deliver end-to-end data products

+ Implement monitoring, logging, and alerting for data pipelines and services

+ Participates in agile or other development methodologies, attends meetings, contributes to project planning, and helps drive the progress and success of digital projects

+ Explores new tools, frameworks, and techniques to improve digital solutions and drive innovation within the development team

+ Creates and maintains technical documentation, including system designs, architecture diagrams, code documentation, and other relevant documentation while sharing their knowledge and expertise with team members, ensuring effective knowledge transfer and collaboration

Preferred Qualifications

+ Healthcare domain knowledge

+ Passion for innovation, with a customer-centric mindset focused on delivering exceptional user experiences

+ Experience working with distributed teams, working across multiple time zones and geographies

+ Ability to influence and inspire teams to align technical direction

+ Ability to create and execute innovation roadmaps

+ Ability to learn/work with emerging technologies, methodologies, and solutions in the Cloud/IT technology space

Education knowledge

+ Bachelors of Science in Computer Science or a related field or equivalent work experience.

Pay Range

The typical pay range for this role is:

$118,450.00 - $236,900.00

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. This position also includes an award target in the company’s equity award program.

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 people

We take pride in our comprehensive and competitive mix of pay and benefits – investing in the physical, emotional and financial wellness of our colleagues and their families to help them be the healthiest they can be. In addition to our competitive wages, our great benefits include:

+ **Affordable medical plan options,** a **401(k) plan** (including matching company contributions), and an **employee stock purchase plan** .

+ **No-cost programs for all colleagues** including wellness screenings, tobacco cessation and weight management programs, confidential counseling and financial coaching.

+ **Benefit solutions that address the different needs and preferences of our colleagues** including paid time off, flexible work schedules, family leave, dependent care resources, colleague assistance programs, tuition assistance, retiree medical access and many other benefits depending on eligibility.

For more information, visit https://jobs.cvshealth.com/us/en/benefits

We anticipate the application window for this opening will close on: 11/30/2025

Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.

We are an equal opportunity and affirmative action employer. We do not discriminate in recruiting, hiring, promotion, or any other personnel action based on race, ethnicity, color, national origin, sex/gender, sexual orientation, gender identity or expression, religion, age, disability, protected veteran status, or any other characteristic protected by applicable federal, state, or local law.