Lead Data Engineer

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 Algorithms

Familiarity 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

Pay Range

The typical pay range for this role is :

$118,450.00 - $284,280.00

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

We anticipate the application window for this opening will close on : 10 / 31 / 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.