Principal Data Engineer

CVS Health•Hartford, CT

4d•$147,430 - $288,400•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 Hartford, CT: Principal Data Engineer to build, develop, and maintain cloud-native software web applications and systems in support of CVS business needs and end customers.

Requirements

Bachelor’s degree (or foreign equivalent) in Computer Science, Computer Engineering, Information Technology, Engineering, or a related field and five (5) years of progressive, postbaccalaureate experience in the job offered or related occupation.
Five (5) years of experience in Software development lifecycle (SDLC)
Five (5) years of experience in CI/CD, Jenkins, GIT, or DevOps
Five (5) years of experience in Java, Python, or Node.js
Five (5) years of experience in XML, JSON, HTML, CSS, or JavaScript
Five (5) years of experience in Agile methodologies or SAFe Software Development Principles
Five (5) years of experience in Angular, JavaScript, React, jQuery, Ajax, Bootstrap, or Backbone
Five (5) years of experience in REST, SOAP, or Web Service APIs
Five (5) years of experience in Docker or Kubernetes
Five (5) years of experience in Hadoop and Hive
Five (5) years of experience in Spark, PySpark, or Scala
Five (5) years of experience in Airflow, Kafka, Hbase, Pig, MySQL, or NoSQL
Five (5) years of experience in Unix, Linux, or Shell scripting
Five (5) years of experience in Developing backend services, performing code reviews, and collaborating with peers on software development solutions
Five (5) years of experience in Contributing to large-scale applications development, data science, or data analytics projects
Five (5) years of experience in Designing data models and solutions for analytical and reporting use cases
Five (5) years of experience in Big Data implementation
Five (5) years of experience in Developing data science products
Five (5) years of experience in Designing data architectures, including data pipelines, distributed computing engines, and machine learning infrastructure design
Five (5) years of experience in End-to-end data science lifecycle/workflow
Five (5) years of experience in Product management in a large, matrixed organization with many internal partners
Five (5) years of experience in Working with UI/UX teams to develop wireframes and prototypes based on end user feedback and human centered design
Five (5) years of experience in Healthcare data management processes and techniques, including data standards, interoperability, and proper data privacy
Five (5) years of experience in Supporting large data, analytics, and technology modernization initiatives

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
Mentor junior Cloud Engineers