Cloud Engineer

CVS Health•New York, NY

10d•$103,210 - $135,960•Remote

About The Position

Caremark LLC, a CVS Health company, is hiring for the following role in New York, NY: 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

Programming in TypeScript, JavaScript, Java, Python
RESTful APIs and integration with back-end services
SAS and SQL programming languages
Databases: Postgres, MongoDB, Big Query
Kafka
Writing Extract/Transform/Load (ETL) processes
Managing large-scale data structures or ETL workflows
Large data, analytics, and technology modernization initiatives
Data analytics, data engineering, and data visualization
HTML, CSS, and JavaScript frameworks, including Vue.js
Git version control systems
Responsive design principles and web-based development
Analyzing large data sets from multiple data sources in healthcare, business, or retail sector

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