At CVS Health, we are dedicated to creating a healthier future for every consumer through innovative health solutions. As a key player in the health care industry, we serve millions of Americans through our local presence and digital channels, backed by a team of over 300,000 passionate colleagues. Join us in our mission to provide compassionate, connected, and convenient care. We are currently seeking a Lead Software Development Engineer to play a pivotal role in transforming health care technology. If you are driven by impactful contributions and possess a strong technical background, we invite you to be part of our journey. You will leverage our extensive repository of healthcare data, spanning over 150 million individuals, to address complex business challenges and develop cutting-edge data products and software. Key Responsibilities: Enhance member experiences by identifying opportunities for automation and innovation. Collaborate with the Data Science & Products team to understand operational workflows and requirements. Make informed design decisions for both UI and backend systems. Develop and manage high-volume data pipelines using modern tools and technologies. Work on query optimization, data structure management, and workload processes. Build front-end applications using frameworks such as Angular or React. Implement containerized solutions and serverless computing in major cloud platforms (GCP, AWS, Azure). Utilize real-time and streaming technologies to enhance data processing capabilities. Engage with stakeholders to solicit complex requirements and effectively manage relationships. Required Qualifications: 5+ years of experience in big data and cloud architecture. Proficiency in SQL and NoSQL databases. Strong skills in Python or similar scripting languages. Experience with ETL/ELT processes and data pipelines. Understanding of query optimization, data structures, and metadata management. 3+ years of experience in front-end development using Angular, React, or similar frameworks. 2+ years of experience in cloud-based data pipeline construction. Hands-on experience in containerized environments. Familiarity with real-time data technologies like Azure Event Hubs and Kafka. 3+ years in relationship management with key stakeholders. 2+ years of experience in independently managing deliverables. Preferred Qualifications: Experience with LLMs and Gen AI models. Designing data engineering solutions in cloud environments. API/Microservices development experience. Familiarity with DevOps practices such as Git and CI/CD pipelines. Understanding of agile and waterfall software development methodologies. Strong collaboration and communication skills. Google Professional Data Engineer/Architect Certification is a plus. Education: Bachelor's Degree in Computer Science, Information Systems, Data Engineering, Data Analytics, Machine Learning or a related field. Master's Degree is preferred. The anticipated work hours for this full-time position are 40 hours per week. We offer a competitive pay range, comprehensive benefits, and a commitment to fostering a workplace where every colleague feels valued and included. If you are eager to contribute your skills in a meaningful way and advance your career while making a positive impact in healthcare, we encourage you to apply.