Overview
Remote
On Site
USD 72,100.00 - 144,200.00 per year
Full Time
Skills
Analytics
Collaboration
Storage
Process Improvement
Scalability
Debugging
Documentation
eXist
Tier 2
Product Support
GCS
Snow Flake Schema
Shell Scripting
Data Integration
Data Quality
Workflow
Training
Generative Artificial Intelligence (AI)
ServiceNow
Issue Tracking
Python
PySpark
SQL
Unix
Linux
Scripting
Query Optimization
Data Structure
Meta-data Management
Continuous Integration
Continuous Delivery
DevOps
Computer Cluster Management
Kubernetes
Cloud Storage
Version Control
Git
Cloud Computing
Data Engineering
Microsoft Azure
Google Cloud Platform
Google Cloud
Communication
Orchestration
API
Microservices
Agile
Scrum
Kanban
Retail
Insurance
Health Care
Machine Learning Operations (ML Ops)
TensorFlow
PyTorch
scikit-learn
Artificial Intelligence
Computer Science
Machine Learning (ML)
Management
Finance
Coaching
Job Details
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.
Looking for candidates local to the Texas office location
CVS Health has a rich set of healthcare data for more than 150 million individuals and provides the best foundation for any ambitious data engineer. As a member of the Data and Analytics organization, you will be responsible for designing, building, and maintaining best-in-class data engineering pipelines aimed at driving best-in-class solutions primarily using Cloud platforms like Google Cloud Platform(or Azure). You will collaborate with cross-functional teams, including data scientists, analysts, business SME's and software engineers, to ensure the efficient and reliable processing, storage, and retrieval of data. You will Provide best-in-class environment where everyone brings their heart to work to build technical solutions to support customers.
As a Data Engineer you will:
Required Qualifications
1-2 years of related work experience, including:
Preferred Qualifications
Education
Bachelor's degree or equivalent work experience in Computer Science, Engineering, Machine Learning (STEM field) or related discipline Master's degree or PhD preferred
Anticipated Weekly Hours
40
Time Type
Full time
Pay Range
The typical pay range for this role is:
$72,100.00 - $144,200.00
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:
For more information, visit ;br>
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.
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.
Looking for candidates local to the Texas office location
CVS Health has a rich set of healthcare data for more than 150 million individuals and provides the best foundation for any ambitious data engineer. As a member of the Data and Analytics organization, you will be responsible for designing, building, and maintaining best-in-class data engineering pipelines aimed at driving best-in-class solutions primarily using Cloud platforms like Google Cloud Platform(or Azure). You will collaborate with cross-functional teams, including data scientists, analysts, business SME's and software engineers, to ensure the efficient and reliable processing, storage, and retrieval of data. You will Provide best-in-class environment where everyone brings their heart to work to build technical solutions to support customers.
As a Data Engineer you will:
- Manage and support production platform to ensure the quality, performance, and availability of the services that meets business requirements for various CVS Lines of Business
- Identify, design, and implement engineering process improvements through automating manual processes, optimizing data pipelines, re-designing services for greater scalability.
- Required to support an on call 24 x 7 cloud Production Environment supporting and administering products & Services involving platform technologies like Google Cloud Platform, Azure, etc. -Work hands-on with customers to develop, migrate, and debug services issues.
- Ensure server/process documentation is up to date and appropriate or create documentation where none may exist.
- Tier 2 triage, troubleshooting, remediation, and escalation of tickets tied to the product support function.
- Build data pipelines using Azure/Google Cloud Platform platform
Required Qualifications
1-2 years of related work experience, including:
- Experience with cloud platforms: Azure and/or Google Cloud Platform (BigQuery, GCS, Pub/Sub, DataProc, Airflow/Composer, Snowflake, Azure Cloud Services)
- Proficiency in Unix/Shell scripting
- Hands-on experience with Python and SQL
- Experience building robust data pipelines focused on data integration and data quality
- Exposure to AI/ML workflows, including data preparation for model training and inference
- Exposure to Gen AI Tech stack with Open AI API & Hosted model endpoint Integration
Preferred Qualifications
- Experience with ServiceNow ticketing system
- Proven ability to design and build data engineering solutions in cloud environments (preferably Azure/Google Cloud Platform)
- Strong programming skills in:
- Python, PySpark, SQL, UNIX/Linux scripting
- Deep understanding of:
- Query optimization, data structures, transformations, metadata, dependency management, and workload orchestration
- Familiarity with CI/CD pipelines and DevOps best practices
- Experience with cloud-native technologies:
- Cluster management, Kubernetes, containerized services, cloud storage, workspace management
- Collaborative experience in multi-developer environments using version control (e.g., Git)
- Cloud certification in data engineering (Azure or Google Cloud Platform preferred)
- Strong communication skills for translating technical concepts to non-technical audiences
- Experience with automation and orchestration tools
- Knowledge of modern API and microservice architectures
- Familiarity with Agile frameworks (Scrum, Kanban)
- Domain knowledge in Retail, Healthcare, or Insurance, especially Healthcare industry
- Experience supporting AI/ML initiatives, such as:
- Feature engineering, model deployment pipelines, and integration with MLOps platforms
- Working with AI frameworks (e.g., TensorFlow, PyTorch) or ML libraries (e.g., scikit-learn, MLflow)
- Experience with Multi Agentic AI Tech Stack (i.e. Pydantic AI , Lang chain, Lang Graph)with exposure to Agent to Agent Protocol / Model Context protocol
Education
Bachelor's degree or equivalent work experience in Computer Science, Engineering, Machine Learning (STEM field) or related discipline Master's degree or PhD preferred
Anticipated Weekly Hours
40
Time Type
Full time
Pay Range
The typical pay range for this role is:
$72,100.00 - $144,200.00
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.
For more information, visit ;br>
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.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.