Staff 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
As a Lead Data Engineer, you will collaborate with business partners in Sales & Marketing Analytics to identity opportunities to leverage big data technologies with a common set of tools and infrastructure to make analytics faster, more insightful, and more efficient. You will use your skills in building data pipelines and knowledge of App Dev to enable data integration, data management, and analysis of massive data sets from multiple channels

Responsibilities:

• Designs and develops complex and large-scale data structures and pipelines to organize, collect and standardize data to generate insights and addresses reporting needs
• Leads a team of onshore/offshore consultants to build out/maintain web applications
• Designs/problem solves web applications
• Writes complex ETL (Extract / Transform / Load) processes, designs database systems and develops tools for real-time and offline analytic processing
• Develops frameworks, standards & reference material for architecture and associated products
• Applies knowledge of internal systems and products to consult and advise on additional efforts across multiple domains spanning broader enterprise
• Collaborates with data science team to transform data and integrate algorithms and models into highly available, production systems
• Uses in-depth knowledge on Hadoop architecture, HDFS commands and experience designing & optimizing queries to build scalable, modular, and efficient data pipelines
• Uses advanced programming skills in Python, Java or any of the major languages to build robust data pipelines and dynamic systems
• Integrates data from a variety of sources, assuring that they adhere to data quality and accessibility standards
• Experiments with available tools and advice on new tools in order to determine optimal solution given the requirements dictated by the model/use case

Required Qualifications

• 7 or more years of progressively complex big data experience, including advanced knowledge in Python, Hive, Google Cloud Platform or similar

Preferred Qualifications

• Strong communication skills, and an ability to work cross-functionally with other teams
• In-depth knowledge of large-scale search applications and building high volume data pipelines
• Ability to leverage multiple tools and programming languages to analyze and manipulate large data sets from disparate data sources
• Ability to understand and build complex systems and solve challenging analytical problems

Education

• Bachelor's degree or equivalent work experience in Computer Science, Engineering, Machine Learning, or related discipline. Master's degree a plus.

Anticipated Weekly Hours
40

Time Type
Full time

Pay Range

The typical pay range for this role is:

$130,295.00 - $260,590.00

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.

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.

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We anticipate the application window for this opening will close on: 07/07/2025

Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.