Associate Cloud Data Engineer
Job in
Irving, Dallas County, Texas, 75084, USA
Listed on 2025-12-20
Listing for:
CVS Health Corporation
Full Time
position Listed on 2025-12-20
Job specializations:
-
IT/Tech
Data Engineer, Data Analyst, Data Science Manager, Cloud Computing
Job Description & How to Apply Below
Hybrid locations:
TX - Irving time type:
Full time posted on:
Posted Todaytime left to apply:
End Date:
December 31, 2025 (13 days left to apply) job requisition :
R0781617
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.
Position Summary:
** Looking for candidates local to the Irving, TX office only
** If you’re eager to make a real impact in the health care industry through your own meaningful contributions, explore a role in technology with CVS Health. Our journey calls for technical innovators and data visionaries: come help us pave the way.
At CVS Health, we possess an extensive repository of healthcare data that spans over 150 million individuals, providing an unparalleled foundation for ambitious Data Engineers. In this role, you will engage with complex business challenges, harnessing modern tools and technologies to securely store, process, transform, and enrich terabyte to petabyte scale healthcare data. Your work will underpin data-driven business decisions and contribute to our mission of delivering industry-best data products / software with a customer-first mindset and team-oriented approach.
As an Associate Data Engineer, you will be instrumental in designing, developing, and maintaining optimal data pipelines to assemble large and intricate datasets, catering to the business requirements of various CVS lines of business. Collaborating closely with teams, you will craft tools to provide actionable insights and integrate them with consumer touchpoints.
As an Associate Cloud Data Engineer, you will be responsible for following –
* Develop, deploy, and maintain robust data pipelines on Google Cloud Platform (GCP), leveraging services like Big Query 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.
As leaders in healthcare, our analytics and engineering teams deliver innovative solutions to business problems by collaborating with cross-functional teams in a dynamic and agile environment. You will be part of a team that values collaboration and encourages innovative thinking at all levels. You will be intellectually challenged to solve problems associated with large scale complex, structured and unstructured data, that will allow you to grow your technical skills and engineering expertise.
Required Qualifications:
· Experience with:
* SQL/No
SQL
* Python (or a comparable scripting language)
* Data warehouses (such as data modeling and technical architectures) and infrastructure components
* ETL/ELT, and building high-volume data pipelines
* Reporting/analytic tools
* Query optimization, data structures, transformation, metadata, dependency, and workload management
* Big data and cloud architecture
Preferred Qualifications:
* 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 Dev Ops 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
Education:
Bachelor’s Degree…
Position Requirements
10+ Years
work experience
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