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’re seeking a Lead Data Engineer to drive the design, implementation, and optimization of data systems powering our mental well-being initiatives. This role will set technical direction, mentor a multidisciplinary team, and collaborate across engineering, product, and analytics to deliver high-impact solutions at scale.

Key Responsibilities:

• Architect, build, and maintain robust data pipelines and platforms for large-scale, secure, and reliable analytics.
• Lead and mentor data engineers, software engineers, and QA colleagues, fostering a culture of technical excellence and collaboration.
• Partner with product, analytics, and business stakeholders to translate business needs into scalable data solutions.
• Champion best practices in data governance, quality, and security.
• Evaluate and implement emerging technologies to advance our mental well-being mission.
• Contribute to the strategic vision for data engineering within the organization.

REQUIRED QUALIFICATIONS

• 7+ years of experience in data engineering,
• Proven expertise in building and optimizing data pipelines, architectures, and data sets (e.g., Spark, Hadoop, SQL/NoSQL, cloud platforms).
• Strong programming skills (e.g., Python, Scala, Java).
• Experience with data modeling, ETL, and data warehousing.
• Track record of mentoring engineers and leading cross-functional initiatives.
• Excellent communication skills and a collaborative, people-first mindset.
• Hands on experience in designing and building data engineering solutions in cloud environments (preferably GCP)
• Hands-on experience with multiple ML/AI AlgorithmsFamiliarity with leveraging AI tools in support of SDLC.

PREFERRED QUALIFICATIONS

• Experience in GCP (Big Query, GCS, Pub/Sub, DataProc, Airflow/Composer etc.) strongly preferred.
• Experience in healthcare, wellness, or regulated industries.
• Experience in a technical leadership role.
• Familiarity with machine learning pipelines and analytics.
• Passion for advancing mental well-being through technology.

EDUCATION

Bachelor’s Degree

• Architect, build, and maintain robust data pipelines and platforms for large-scale, secure, and reliable analytics.
• Lead and mentor data engineers, software engineers, and QA colleagues, fostering a culture of technical excellence and collaboration.
• Partner with product, analytics, and business stakeholders to translate business needs into scalable data solutions.
• Champion best practices in data governance, quality, and security.
• Evaluate and implement emerging technologies to advance our mental well-being mission.
• Contribute to the strategic vision for data engineering within the organization