Cloud Engineer

CVS Health•Irving, TX

1d•$112,923 - $144,200•Remote

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: Caremark LLC., a CVS Health company, is hiring for the following role in Irving, TX: Cloud Engineer to build, develop, and maintain cloud-native software web applications and systems in support of CVS business needs and end customers. Duties include: assist with cloud-native application development, web development, API integration and scaling them in real time to meet internal users and end-customer customer needs; participate in entire software lifecycle development, testing, CI/CD and production operations; develop large scale data structures and pipelines to organize, collect and standardize data to generate insights and addresses reporting needs; write ETL (Extract/Transform/Load) processes, design database systems, and develop tools for real-time and offline analytic processing; collaborate with Data Science team to transform data and integrate algorithms and models into automated processes; leverage knowledge of Hadoop architecture, HDFS commands, and designing and optimizing queries to build data pipelines; utilize programming skills in Python, Java, or similar languages to build robust data pipelines and dynamic systems; build data marts and data models to support Data Science and other internal customers; integrate data from a variety of sources and ensure adherence to data quality and accessibility standards; analyze current information technology environments to identify and assess critical capabilities and recommend solutions; and experiment with available tools and advise on new tools to provide optimal solutions that meet the requirements dictated by the model/use case. Telecommuting available. Multiple positions.

Requirements

Master’s degree (or foreign equivalent) in Computer Science, Computer Engineering, Information Technology, Engineering, or a related field
Six months of experience in the job offered or related occupation
Six months of experience in Programming in Java, Python, or R
Six months of experience in SAS or SQL programming languages
Six months of experience in Designing and optimizing queries to build data pipelines
Six months of experience in Writing Extract/Transform/Load (ETL) processes
Six months of experience in Cloud technologies: Azure, Amazon Web Services (AWS), or Google Cloud Platform (GCP)
Six months of experience in Machine learning algorithms
Six months of experience in Designing data architectures, including data pipelines, distributed computing engines, and machine learning infrastructure design

Responsibilities

Assist with cloud-native application development, web development, API integration and scaling them in real time to meet internal users and end-customer customer needs
Participate in entire software lifecycle development, testing, CI/CD and production operations
Develop large scale data structures and pipelines to organize, collect and standardize data to generate insights and addresses reporting needs
Write ETL (Extract/Transform/Load) processes, design database systems, and develop tools for real-time and offline analytic processing
Collaborate with Data Science team to transform data and integrate algorithms and models into automated processes
Leverage knowledge of Hadoop architecture, HDFS commands, and designing and optimizing queries to build data pipelines
Utilize programming skills in Python, Java, or similar languages to build robust data pipelines and dynamic systems
Build data marts and data models to support Data Science and other internal customers
Integrate data from a variety of sources and ensure adherence to data quality and accessibility standards
Analyze current information technology environments to identify and assess critical capabilities and recommend solutions
Experiment with available tools and advise on new tools to provide optimal solutions that meet the requirements dictated by the model/use case