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Cvs Data Engineer Jobs in California (NOW HIRING)

... CVS/ Bank/ Finance/Medical/Telecom Key Requirement: We are looking for a strong backend developer Python with Data Engineering exposure , preferably someone who has built data pipelines and developed ...

At CVS Health ® , you'll be surrounded by passionate colleagues who care deeply, innovate with ... The ideal candidate combines strong operational leadership, deep customer empathy, and data-driven ...

Product Manager - Pharma

Los Angeles, CA · On-site +1

$66K - $159K/yr

Our full-funnel ad solutions leverage CVS's in-store and online data, extensive reach, and to ... Partner with engineering, design, data science, and operations to build scalable, high-performing ...

Product Manager - Pharma

San Francisco, CA · On-site +1

$66K - $159K/yr

Our full-funnel ad solutions leverage CVS's in-store and online data, extensive reach, and to ... Partner with engineering, design, data science, and operations to build scalable, high-performing ...

Senior Platform Engineer Palo Alto, California, United States DataHub is an AI & Data Context Platform adopted by over 3,000 enterprises, including Apple, CVS Health, Netflix, and Visa. Innovated ...

Interface with controls, diagnostics, and data acquisition teams * Oversee vendor interactions ... We do not accept speculative CVs or referrals from agencies. If speculative CVs are sent, no fee ...

It moves data through LLMs, transforms agent outputs into structured downstream data, runs jobs ... Our Customers Customers include CVS Health, Aon, and PVH. Location * Full-time, in-person role ...

Java Developer (Mid)

San Diego, CA

$54.25 - $70/hr

Be it core Java, full-stack Java, Web/UI designers, Big Data or Cloud or Mobility developers ... life-cycles using CVS, Maven, and Continuous Integration environments Experience developing ...

Be it core Java, full-stack Java, Web/UI designers, Big Data or Cloud or Mobility developers ... Inicode, CVS, Subversion, and UNIX highly desirable. Qualifications EJB 3.x, ORM/JPA,Web Services ...

Site Reliability Engineering Tech Lead

Palo Alto, CA · On-site

$67 - $89/hr

DataHub is an AI & Data Context Platform adopted by over 3,000 enterprises, including Apple, CVS ... Mentor and guide a team of SRE engineers and collaborate with platform engineering teams * Work ...

AI Engineer

San Francisco, CA · On-site

$150K - $250K/yr

We capture observable work data across tools and systems, structure it into a model of how work ... Our Customers Customers include CVS Health, Aon, and PVH. Location * Full-time, in-person role ...

Be it core Java, full-stack Java, Web/UI designers, Big Data or Cloud or Mobility developers ... NET web development Experience with version control systems (CVS or SVN) Prior work experience in ...

Design, implement and support complex applications and data integration solutions using advanced ... Please note unsolicited CVs from agencies will not be accepted. Origin recognises Aboriginal and ...

Teradata Developer Work Location : Cupertino, CA Term : Full Time Permanent Opportunity Job Title ... or CVS- Metadata Management, Enterprise data security architecture and Data Warehouse best ...

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Showing results 1-20

Cvs Data Engineer information

See California salary details

$43.9K

$128K

$175.2K

How much do cvs data engineer jobs pay per year?

As of Jun 17, 2026, the average yearly pay for cvs data engineer in California is $128,018.00, according to ZipRecruiter salary data. Most workers in this role earn between $113,000.00 and $135,700.00 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.

What job categories do people searching Cvs Data Engineer jobs in California look for? The top searched job categories for Cvs Data Engineer jobs in California are:
What cities in California are hiring for Cvs Data Engineer jobs? Cities in California with the most Cvs Data Engineer job openings:
Infographic showing various Cvs Data Engineer job openings in California as of June 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $128,018 per year, or $61.5 per hour.
Backend Engineer

Other

Posted 13 days ago


Job description

We have an immediate contract opening for a Backend Engineer Data role with End client is Apple. Please find the details below:

Job Role: Backend Engineer Data

Location: Sunnyvale, CA (Onsite)

Duration: 6-12+ Months Experience: 6-8+ years

Ex- Apple is must

Look for people from product based companies / startup / [Paypal / Netflix / Meta / AWS ...]

No candidates from companies like Wells Fargo / CVS/ Bank/ Finance/Medical/Telecom

Key Requirement:
We are looking for a strong backend developer Python with Data Engineering exposure, preferably someone who has built data pipelines and developed APIs using FastAPI.

Skills Required: MUST TO HAVE-

  • Python (FastAPI/Flask, SQLAlchemy, Pydantic)
  • REST APIs, JSON, OpenAPI/Swagger
  • PostgreSQL, complex SQL, and data modeling
  • Experience in building data pipelines (ETL)
  • Git, debugging, and collaborative development

Nice to Have:

  • Experience building an MCP server
  • Docker, Kubernetes, AWS, CI/CD

Responsibilities:

  • Build and enhance backend services and APIs
  • Work with PMs to gather and refine requirements
  • Optimize existing systems and troubleshoot issues
  • Deliver projects within timelines