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Cvs Data Engineer Jobs in California (NOW HIRING)

DataHub

Customer Centric Engineer

Palo Alto, CA · On-site +1

DataHub is an AI & Data Context Platform adopted by over 3,000 enterprises, including Apple, CVS ... Collaborate with product, engineering, and ingestion teams to resolve escalations and improve ...

Origin Energy Services Ltd

Lead a team across data engineering, analytics and visualisation delivery * Brisbane based Join a ... Please note unsolicited CVs from agencies will not be accepted. Origin recognises Aboriginal and ...

TAE

Neutral Beam R&D Engineer

Foothill Ranch, CA · On-site

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 ...

Fluency

Software Engineer, AI Platform

San Francisco, CA · On-site

$150K - $250K/yr

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 ...

Jobsbridge

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 ...

Fluency

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 ...

DataHub

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 ...

Jobsbridge

Web Developer

Irvine, CA

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 ...

Mintbiz

Teradata Developer

Cupertino, CA

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 ...

DataHub

Senior Platform Engineer

Palo Alto, CA · On-site

$225K - $300K/yr

DataHub is an AI & Data Context Platform adopted by over 3,000 enterprises, including Apple, CVS ... Engineering teams struggling with data discovery, lineage, and governance * Organizations needing ...

Prosum

SAS Lead Developer

Pasadena, CA · On-site

Design and develop efficient, flexible and supportable software for data transformations and risk ... Experience with source code control systems such as CVS, subversion, or git * Familiar with SDLC ...

USM

.NET Developer

Roseville, CA

$50.50 - $66.75/hr

... SOA, BPM, Data Warehousing, SharePoint Consulting and IT Infrastructure. Our other offerings ... Experience with Eclipse, Visual Studio Familiarity with AJAX, jQuery, WCF, TFS, CVS Additional ...

DataHub

Staff, Backend Engineer - Catalog

Palo Alto, CA · On-site

$225K - $300K/yr

DataHub is an AI & Data Context Platform adopted by over 3,000 enterprises, including Apple, CVS ... Engineering teams struggling with data discovery, lineage, and governance * Organizations needing ...

Prosum

SAS Lead Developer

Pasadena, CA · On-site

Design and develop efficient, flexible and supportable software for data transformations and risk ... Experience with source code control systems such as CVS, subversion, or git * Familiar with SDLC ...

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All JobsCvs Data Engineer JobsCvs Data Engineer Jobs in California

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 Jul 13, 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 are popular job titles related to Cvs Data Engineer jobs in California? For Cvs Data Engineer jobs in California, the most frequently searched job titles are:
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:
Cvs Data Engineer jobs near you
Infographic showing various Cvs Data Engineer job openings in California as of July 2026, with employment types broken down into 58% Full Time, 37% Part Time, 1% Temporary, and 4% Contract. Highlights an 93% Physical, 3% Hybrid, and 4% Remote job distribution, with an average salary of $128,018 per year, or $61.5 per hour.

Customer Centric Engineer

DataHub

Palo Alto, CA • On-site, Remote

Full-time

Medical, Dental, Vision, Life, PTO

Re-posted 22 days ago

Job description

DataHub is an AI & Data Context Platform adopted by over 3,000 enterprises, including Apple, CVS Health, Netflix, and Visa. Innovated jointly with a thriving open-source community of 13,000+ members, DataHub's metadata graph provides in-depth context of AI and data assets with best-in-class scalability and extensibility.
The company's enterprise SaaS offering, DataHub Cloud, delivers a fully managed solution with AI-powered discovery, observability, and governance capabilities. Organizations rely on DataHub solutions to accelerate time-to-value from their data investments, ensure AI system reliability, and implement unified governance, enabling AI & data to work together and bring order to data chaos.
The Company
DataHub is the leading AI & Data Context Platform, trusted by more than 3,000 enterprises, including Apple, CVS Health, Netflix, and Visa. Built with the strength of an open-source community of 13,000+ members, our metadata graph technology provides unmatched scalability, extensibility, and in-depth visibility into AI and data assets.
Our SaaS offering, DataHub Cloud, delivers AI-powered discovery, observability, and governance - empowering organizations to accelerate time-to-value, ensure AI reliability, and bring order to data chaos.
We're growing fast, and we're looking for people who are as customer-obsessed as they are technically strong.
The Role
We are seeking a gifted and resourceful Customer Centric Engineer (CCE) to serve as the bridge between our customers and Engineering teams. This is beyond traditional support - it's a hybrid role where you'll provide advanced troubleshooting, help guide onboarding, and partner with Engineering and Product teams to shape both the customer experience and the evolution of DataHub itself.
What You'll Do
  • Provide advanced technical support to our growing customer base via multiple channels (Zendesk, Zoom, Slack).
  • Troubleshoot complex issues spanning software configuration, networking, and integrations - including analyzing logs, reproducing issues, and debugging code.
  • Ensure our customers achieve fast and lasting success with DataHub.
  • Act as a trusted advisor, helping customers optimize their usage and proactively address gaps or inefficiencies.
  • Collaborate with product, engineering, and ingestion teams to resolve escalations and improve product functionality.
  • Monitor customer health metrics and advocate internally (alongside our Customer Success team) for improvements based on customer feedback.
  • Contribute to customer-facing resources: FAQs, troubleshooting guides, training materials, and knowledge base articles.
  • Continuously expand your technical skill set through training, certifications, and self-directed learning.
What You'll Bring
  • 5+ years of experience in software engineering, data engineering, or supporting complex enterprise applications.
  • Expertise and understanding of Python; general understanding of frontend technologies like React, TypeScript, JavaScript, etc.; experience with data pipelines, ELT processes, and the modern data stack.
  • Proficiency with SQL and enterprise data platforms such as Snowflake, BigQuery, dbt, Airflow, Tableau, or Looker.
  • Solid understanding of networking, system architectures, and cloud platforms (AWS, Azure, GCP). Understanding of (and experience with) modern orchestration technologies (Kubernetes, GKE, AKE, Docker, etc.)
  • Experience with UNIX commands and system administration/navigation
  • Experience troubleshooting and debugging code in enterprise environments.
  • Excellent written and verbal communication skills - able to explain technical detail clearly to customers at all levels.
  • A passion for helping customers succeed and a mindset rooted in collaboration and empathy.
  • An appetite for working in a fast-paced startup environment.
  • Bachelor's degree in Computer Science or equivalent practical experience.
Why Join DataHub?
  • Direct impact: Shape the Support function and influence the customer experience.
  • Technical depth: Work across software, data platforms, cloud, and modern DevOps.
  • Growth culture: A collaborative, diverse, and inclusive environment where learning never stops.
  • Competitive package: Salary, health benefits, and equity. You'll have an ownership stake in the company.

Benefits and Perks
We invest in people so they can do their best work and enjoy doing it. Our benefits reflect the way we build: practical, thoughtful, and designed to support long-term growth.
Competitive compensation
We offer salaries that reflect your skills, experience, and the impact you make. You bring value-we make sure you're recognized for it.
Equity for everyone
Every team member receives an ownership stake in the company. When we grow, you grow with us.
Remote Work
All roles are remote unless otherwise specified in the job description. Review the job description to confirm if the role you are interested in is remote or hybrid.
Location flexibility
Home office, coworking space, or something in between? We support your ideal setup. You'll receive a monthly coworking stipend to use whenever you need a change of pace or in-person collaboration time.
Comprehensive health coverage
Your well-being matters. We cover 99% of medical, dental, and vision premiums employees, and 65% for dependents.
Flexible savings accounts
We offer FSAs to help cover planned or unexpected healthcare costs. You can also opt into a Dependent Care FSA to support family needs.
Support for every path to parenthood
Through Carrot Fertility, we provide inclusive fertility benefits and family-forming support. All U.S. employees have access, regardless of age, gender identity, or family structure.
Time off that works for you
We trust you to take the time you need. Our unlimited PTO and sick leave policy is designed for flexibility, rest, and real life.
Why Join Us
DataHub is at a rare inflection point: we've achieved product-market fit, earned the trust of leading enterprises, and secured backing from top-tier investors like Bessemer Venture Partners and 8VC. The context platform market is expected to grow from $1B to $9B in the next five years-and we're leading the way.
By joining our team, you'll:
  • Tackle high-impact challenges at the heart of enterprise AI infrastructure
  • Ship production systems that power real-world use cases at global scale
  • Collaborate with a high-caliber team of builders who've scaled some of the most influential data tools in the world
  • Build the next generation of AI-native data systems, including conversational agents, intelligent classification, automated governance, and more

If you're passionate about technology, enjoy working with customers, and want to be part of a fast-growing company changing the industry, we want to hear from you!

Apply