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Cvs Data Engineer Jobs (NOW HIRING)

At CVS Health, you'll be surrounded by passionate colleagues who care deeply, innovate with purpose ... This role requires hands-on experience with Data Migration, ETL pipelines, and data management best ...

At CVS Health, you'll be surrounded by passionate colleagues who care deeply, innovate with purpose ... This role requires hands-on experience with Data Migration, ETL pipelines, and data management best ...

Big Data Developer

Mooresville, NC

$50.25 - $65/hr

Big Data Developer Location: MOORESVILLE, NC Duration: 4+ Months Rate: Open (DOE) SUMMARY of SKILL ... CVS, SVN, GIT. 5+ years' experience with using builds tools like Ant, Maven, Gradle etc. 5+ years ...

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CVS Data Engineer information

See salary details

$44.5K

$129.7K

$177.5K

How much do cvs data engineer jobs pay per year?

As of Jul 22, 2026, the average yearly pay for cvs data engineer in the United States is $129,716.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,500.00 and $137,500.00 per year, depending on experience, location, and employer.

What is a CVS Data Engineer?

A CVS Data Engineer is a technology professional responsible for designing, building, and maintaining the data infrastructure and pipelines at CVS Health. They work with large datasets from various sources, ensuring data is properly collected, processed, and made available for analysis. These engineers collaborate with data scientists, analysts, and other IT teams to support data-driven decision making. Their work is critical for optimizing business operations and improving health outcomes at CVS.

What are the key skills and qualifications needed to thrive as a CVS Data Engineer, and why are they important?

To thrive as a CVS Data Engineer, you need a solid background in computer science, data modeling, and SQL, typically supported by a relevant degree and experience in data engineering. Familiarity with ETL tools, big data technologies like Hadoop or Spark, and cloud platforms such as AWS or Azure is often required, along with certifications like Google Cloud Professional Data Engineer or AWS Certified Data Analytics. Strong problem-solving skills, attention to detail, and effective communication help you excel in collaborating with cross-functional teams and translating business needs into technical solutions. These skills ensure efficient data pipeline development, accurate data analysis, and support for data-driven decision-making within CVS Health.

How does a CVS Data Engineer typically collaborate with data scientists and business analysts on projects?

As a CVS Data Engineer, collaboration with data scientists and business analysts is a key part of the role. Data engineers are responsible for building and maintaining the data pipelines and infrastructure that enable efficient access to large datasets. They work closely with data scientists to understand data requirements, ensure data quality, and facilitate the delivery of clean, structured data for modeling or analysis. Regular meetings and shared project management tools help align efforts, and it's common for data engineers to assist analysts in troubleshooting data issues or optimizing queries for reporting and analytics.

What is the difference between Cvs Data Engineer vs Cvs Data Analyst?

AspectCvs Data EngineerCvs Data Analyst
Required CredentialsBachelor's in Computer Science, Data Engineering certificationsBachelor's in Statistics, Data Analysis certifications
Work EnvironmentData pipelines, cloud platforms, database managementData interpretation, reporting, visualization tools
Employer & Industry UsageTech companies, finance, healthcareMarketing firms, retail, consulting

The Cvs Data Engineer focuses on building and maintaining data infrastructure, while the Cvs Data Analyst interprets data to provide insights. Both roles require strong technical skills, but Data Engineers handle data pipelines and storage, whereas Data Analysts focus on analyzing and visualizing data for decision-making.

More about CVS Data Engineer jobs
What cities are hiring for Cvs Data Engineer jobs? Cities with the most Cvs Data Engineer job openings:
What states have the most Cvs Data Engineer jobs? States with the most job openings for Cvs Data Engineer jobs include:
Infographic showing various Cvs Data Engineer job openings in the United States as of July 2026, with employment types broken down into 51% Full Time, 47% Part Time, and 2% Contract. Highlights an 95% Physical, 2% Hybrid, and 3% Remote job distribution, with an average salary of $129,716 per year, or $62.4 per hour.
Product Manager - Onsite Display and Sponsored Ads - CVS Media Exchange (CMX)

Product Manager - Onsite Display and Sponsored Ads - CVS Media Exchange (CMX)

CVS Health

Woonsocket, RI โ€ข Hybrid

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 26 days ago


Job description

We're building a world of health around every individual - shaping a more connected, convenient and compassionate health experience. At CVS Health, you'll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselvesaccountable and prioritize safety and quality in everything we do. Join us and be part of something bigger - helping to simplify health care one person, one family and one community at a time.

Position Summary

CVS Media Exchange [CMX] is dedicated to driving measurable outcomes for our suppliers, merchants, stores, GMs, brand advertisers, and agencies. Our full-funnel ad solutionsleverageCVS's in-store and online data, extensive reach, andto providemeasurable results for our clientele. With a range of flexible pricing and buying models, including self-service;these solutions help businesses build brand awareness, engage with CVS consumers, and convert CVS consumers to shoppers.

As the Onsite Product Manager, you willpartnerwith the O&O (Owned and Operated) team to drive the development, execution, and continuous optimization of onsite display and sponsored advertising experiences, including Sponsored Products and Sponsored Brands. This role is critical to expanding CMX's onsite monetization capabilities, improving ad relevance and performance, and driving measurable outcomes for advertisers. You will work closely with engineering, ad operations, sales, and data science to build scalable, high-impact solutions across CMX's onsite surfaces.

Responsibilities include, but not limited to:

  • Contribute to and help evolve the onsite advertising product roadmap, including display and sponsored formats (Sponsored Products and Sponsored Brands), with a focus on performance and scalability
  • Support the development and optimization of onsite inventory strategy, including placement design, ad formats, and monetization approaches across key surfaces
  • Act as a supporting subject matter resource for onsite ad serving and platform capabilities,leveragingworking knowledge of GAM (ad units, key-values, targeting, yield optimization)
  • Partner with cross-functional teams to improve platform performance and scalability, including trafficking workflows, targeting capabilities, and reporting accuracy
  • Assistin advancing auction dynamics, ranking logic, and ad relevance, including integration across search and browse experiences
  • Deploying interactive dashboards and visualizations using Tableau, Looker, and Power BI to track performance metrics and KPIs; defining and monitoring key performance indicators (KPIs) for engagement andmonetization, andcreating benchmarks against industry standards.
  • Utilizingdata analysis tools and languages including Excel, SQL, R and Python, and data visualization tools including Tableau,Lookerand Power BI.
  • Leverage data and measurement insights to support product decisions, including experimentation, performance analysis, and attribution alignment.

Location: This role can be based remotely in the U.S. or near one of our Corporate Hubs.

If you are commutable to one of the following Corporate Hubs, you must work in the office 2 or more days a week:

Wellesley, MA

Woonsocket, RI

New York Soho area, NY

Chicago, IL

Required Qualifications

  • 5+ years of product management experience within digital advertising, retail media, or AdTech, including hands-on experience with onsite advertising products, includingDisplay,SponsoredProductsand/or Sponsored Brands. Experienceworking cross-functionally with Ad Ops, Engineering, and Sales teams
  • Experience with working knowledge of GAM, including inventory structure, key-values, targeting, and trafficking workflows
  • Experience utilizing data analysis tools and languages including Excel, SQL, R and Python, and data visualization tools including Tableau,Lookerand Power BI.

Preferred Qualifications

  • Experienceworking with retail media networks and understanding of onsite monetization strategies
  • Familiaritywith auction-based systems, relevance/ranking logic, and performance optimization
  • Stronganalytical skills with experience using performance metrics to guide product decisions
  • Leverage data and measurement insights to support product decisions, including experimentation, performance analysis, and attribution alignment.
  • Agility & Self-Starter:Demonstratedability to adapt swiftly to evolving priorities and challenges. Proactive inidentifyingand driving projects forward independently within a fast-paced environment.
  • Cross-Functional Leadership:Demonstratedability to work collaboratively across departments, resolve complex conflicts, and lead cross-functional projects. Excellent communication skills, with the ability to translate complex technical concepts for business audiences.
  • Customer Focus:Passionate about understanding user behavior, advertiser needs, and trends in digital advertising to deliver a product that meets both client and consumer expectations.
  • Experience with analytics tools and A/B testing methodologies is highly desirable.

Education

Bachelor's degree in Business, Marketing, Computer Science, or related field OR equivalent (4 years' experience and High School Diploma/GED)required

MBA or relevantMaster'sdegree preferred

Anticipated Weekly Hours

40

Time Type

Full time

Pay Range

The typical pay range for this role is:

$66,330.00 - $159,120.00

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 offering a comprehensive and competitive mix of pay and benefits that reflects our commitment to our colleagues and their families.

This fulltime position is eligible for a comprehensive benefits package designed to support the physical, emotional, and financial wellbeing of colleagues and their families. The benefits for this position include medical, dental, and vision coverage, paid time off, retirement savings options, wellness programs, and other resources, based on eligibility.


Additional details about available benefits are provided during the application process and on Benefits Moments.

We anticipate the application window for this opening will close on: 08/31/2026

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