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

If you’re eager to make a real impact in the health care industry through your own meaningful contributions, explore a role in technology with CVS Health. Our journey calls for technical innovators and data visionaries: come help us pave the way.
At CVS Health, we are driven by a vision to redefine healthcare in America by placing people at the forefront of our efforts. We’re seeking a motivated software engineer who shares our commitment to engineering excellence and innovation. As part of our team, you’ll have the opportunity to contribute to advancing and modernizing technologies that shape the future of healthcare.

As a Senior Software Engineer, you will:

• Design and develop large-scale applications, including backend services and APIs, while ensuring practicality, stability and reliability.
• Design and develop large-scale data systems, including databases, data warehouses, and search engines.
• Create scalable and efficient data pipelines to extract, transform, and load data from various sources into data warehouses or data lakes for analytical purposes.
• Analyze and resolve complex issues in the applications, identifying root causes and implementing robust fixes. Continuously optimize application performance and scalability through code improvements, cloud service optimizations, and infrastructure as code practices.
• Documents engineering processes, workflows, and systems for reference and knowledge-sharing purposes.
• Collaborate with product managers, architects, and other engineering teams to understand business requirements and translate them into technical solutions.

As leaders in healthcare, our analytics and engineering teams deliver innovative solutions to business problems by collaborating with cross-functional teams in a dynamic and agile environment. You will be part of a team that values collaboration and encourages innovative thinking at all levels. You will be intellectually challenged to solve problems associated with large scale complex, structured and unstructured data, that will allow you to grow your technical skills and engineering expertise.

REQUIRED QUALIFICATIONS

• 5+ years of experience in Java or Python, along with relevant frameworks (Spring Boot for Java, Django/Flask/FastAPI for Python).
• 5+ years of experience in ReactJS, HTML5, and CSS3.
• 5+ years of hands-on experience building modern data pipelines in GCP, AWS, or Azure.
• 5+ years of experience deploying/scaling apps on containerized environments (Kubernetes, AKS) and serverless compute.
• 3+ years of experience working with LLMs and other Gen AI models.
• 3+ years of experience with Big Data and cloud architecture.
• 3+ years of experience with real-time and streaming technologies (Azure Event Hubs, Azure Functions, Kafka, Spark Streaming).
• 3+ years of experience with SQL and NoSQL databases.
• 3+ years of experience with Python (or a comparable scripting language).
• 3+ years of experience with ETL/ELT and building high-volume data pipelines.
• 3+ years of experience with query optimization, data structures, transformation, metadata, dependency, and workload management.
• 3+ years of experience independently managing deliverables.

PREFERRED QUALIFICATIONS

• Familiarity with different phases of software development lifecycle (SDLC) .
• Excellent collaboration and communication skills.
• Solid understanding of data architecture principles and proven experience in designing and developing scalable data systems, while considering data governance requirements.
• Knowledge in GCP architecture, commands and experience designing & optimizing software and data engineering patterns
• Proficient in a scripting language, such as Shell or Bash
• Formal SAFe and/or agile experience. Previous healthcare experience and domain knowledge.

EDUCATION

Bachelor’s Degree or equivalent work experience in Computer Science, Information Systems, Data Engineering, Data Analytics, Machine Learning, or related field required. Master’s Degree preferred.

Please refer the Job description for details