Data Engineer

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.

Location required local to Irving, TX

Position Summary:

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 a 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 a Data Engineer, you will have following responsibilities :

• 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.

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:

At least 1 + years of real world working experience in the following:

• 1+ years of experience with 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

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 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

Education:

Bachelor’s Degree or equivalent work experience in Computer Science, Information Systems, Engineering, Data Science, Machine Learning, or related field required

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 b