Data Engineer, CVS Health

CVS Health

Location:
United States, Irving, Texas

Category:
IT - Software Development

Contract Type:
Employment contract

Salary:

72100.00 - 144200.00 USD / Year

Save Job

Apply Position

Job Description:

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.

Job Responsibility:

Develop, deploy, and maintain robust data pipelines on Google Cloud Platform (GCP), leveraging services like BigQuery and Composer (Apache Airflow)
Translate existing legacy programs and data processes into efficient, scalable Python-based solutions for migration to GCP
Collaborate with cross-functional teams to understand data requirements, troubleshoot issues, and ensure seamless data flow and service delivery
Focus on data quality, integrity, and reliability throughout the data lifecycle, implementing best practices for monitoring and validation
Contribute to the continuous improvement of data pipelines, ensuring high performance and availability of data services

Requirements:

At least 1+ years of real world working experience in SQL, NoSQL
1+ years of experience with Python (or a comparable scripting language)
1+ years of experience with Data warehouses (such as data modeling and technical architectures) and infrastructure components
1+ years of experience with ETL/ELT, and building high-volume data pipelines
1+ years of experience with reporting/analytic tools
1+ years of experience with query optimization, data structures, transformation, metadata, dependency, and workload management
1+ years of experience with Big data and cloud architecture

Nice to have:

Experience in designing and building data engineering solutions in cloud environments (preferably GCP)
Experience in Python or a comparable scripting language and shell scripting
Experience in creating SQL based processes
Experience with Jenkins, Git, CI/CD pipeline, and other DevOps principles/best practices
Understanding of software development methodologies including waterfall and agile
Strong collaboration and communication skills within and across teams
Google Professional Data Engineer Certification

What we offer:

Affordable medical plan options
401(k) plan (including matching company contributions)
Employee stock purchase plan
No-cost programs for all colleagues including wellness screenings, tobacco cessation and weight management programs, confidential counseling and financial coaching
Paid time off
Flexible work schedules
Family leave
Dependent care resources
Colleague assistance programs
Tuition assistance
Retiree medical access

Additional Information:

Job Posted:
June 28, 2025

Expiration:
August 31, 2025

Employment Type:

Fulltime

Work Type:

Hybrid work

View All Jobs In This Company

Job Link Share:

Data Engineer