Staff Data Engineer, Observability Data Lake (ClickHouse)

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.

Description:

Bring your heart to CVS Health. Every one of us at CVS Health shares a single, clear purpose: Bringing our heart to every moment of your health. This purpose guides our commitment to deliver enhanced human-centric health care for a rapidly changing world. Anchored in our brand — with heart at its center ��� our purpose sends a personal message that how we deliver our services is just as important as what we deliver.

Our Heart At Work Behaviors™ support this purpose. We want everyone who works at CVS Health to feel empowered by the role they play in transforming our culture and accelerating our ability to innovate and deliver solutions to make health care more personal, convenient, and affordable.

Position Summary:

We are seeking a highly skilled Data and Database Engineer to join our Observability Data Lake team. This role is critical for optimizing the performance and efficiency of our observability data lake, which ingests and processes data at massive scale. As a Database Engineer, you will focus on the optimization of SQL queries and the management of both structured and unstructured data coming in and out of the lake. You will support the Technical Lead and the overall observability data lake team by ensuring high-speed data processing and retrieval, enabling actionable insights for observability use cases.

Key Responsibilities:

• Optimize SQL queries to ensure high performance and efficiency in data processing and retrieval.
• Manage and optimize the storage and retrieval of both structured and unstructured data within the observability data lake.
• Collaborate with the Technical Lead and other team members to support the architecture, engineering, and optimization of the observability data lake.
• Leverage ClickHouse for high-speed data storage and retrieval, ensuring seamless integration with data pipelines and visualization tools.
• Work closely with the data pipeline team to ensure efficient data ingestion and correlation at scale using Vector.dev.
• Implement best practices for database management, including indexing, partitioning, and query optimization.
• Create and maintain documentation for database schemas, query optimization techniques, and data management processes.
• Troubleshoot and resolve database-related issues, providing expert guidance and solutions to enhance performance.
• Stay updated on the latest technologies and practices in database management and optimization, continuously seeking ways to improve operations and contribute to innovation within the team.
• Participate in project meetings, providing technical oversight and contributing to the successful delivery of observability solutions.

Required Qualifications:

• A minimum of 7 years of experience in database engineering, with a focus on SQL query optimization and data management.
• Strong proficiency in SQL and experience with query optimization techniques.
• Expertise in managing and optimizing both structured and unstructured data.
• Experience with ClickHouse for high-speed data storage and retrieval.
• Familiarity with data pipeline tools, particularly Vector.dev.
• Strong analytical skills, with a focus on delivering actionable insights and improvements.
• Excellent problem-solving skills and the ability to work collaboratively in a dynamic, fast-paced environment.
• Strong communication and interpersonal skills, capable of working effectively with diverse teams.
• Experience with modern development tools and practices, including version control, continuous integration/continuous deployment (CI/CD), and agile methodologies.

Education:

• Bachelor’s degree from an accredited university or equivalent work experience (HS diploma + 4 years relevant experience).

Pay Range

The typical pay range for this role is:

$106,605.00 - $213,210.00

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