Associate Data Engineer

CVS Health•Richardson, TX

About The Position

We’re building a world of health around every individual — shaping a more connected, convenient and compassionate health experience. At CVS Health®, you’ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger – helping to simplify health care one person, one family and one community at a time. 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 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.

Requirements

6 months of Experience in executing Data warehousing ETL projects.
6 months of Experience with Python
6 months of Experience with SQL
6 months of hands-on Experience with bash shell scripts, UNIX utilities & UNIX Commands
6 months of hands-on Experience with a major cloud platform (GCP, AWS, Azure)

Nice To Haves

Experience in designing and building data engineering solutions in cloud environments (preferably GCP)
Experience with Jenkins, Git, CI/CD pipeline, and other DevOps principles/best practices
Experience with bash shell scripts, UNIX utilities & UNIX Commands
Understanding of software development methodologies including waterfall and agile.
Ability to leverage multiple tools and programming languages to analyze and manipulate data sets from disparate data sources
Knowledge of API development
Experience with complex systems and solving challenging analytical problems
Strong collaboration and communication skills within and across teams
Knowledge of data visualization and reporting
Any cloud fundamentals certification from major cloud service providers(GCP preferred)
Knowledge of microservices and SOA
Formal SAFe and/or agile experience.
Previous healthcare experience and domain knowledge

Responsibilities

Understands the Enterprise data systems and acquires knowledge on the relevant processes need for project delivery.
Participate in Agile scrum activities/project status meetings on regular basis.
Participate in User story discussion with technical lead.
Uses strong programming skills to build robust data pipelines for ETL (Extract / Transform / Load) processes and develops tools for data processing.
Work closely with Tech Leads to support UAT/Pre-prod testing and deployment activities.
Documents data engineering processes, workflows, and systems for reference and knowledge-sharing purposes.
Implements data quality checks and validation processes to ensure the accuracy, completeness, and consistency of the data.
Be a team player and work with team members for Business solution and implementation.