Data Engineer

CVS Health•New York, NY

4d•$118,102 - $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 New York, NY: Data Engineer to analyze data engineering problems and develop, build, and manage large-scale data structures, pipelines, and efficient Extract/Load/Transform (ETL) workflows to address complex problems and support business applications.

Requirements

Master’s degree (or foreign equivalent) in Computer Science, Data Science, Electrical Engineering, Computer Information Systems, or a related field
Completion of a university-level course, research project, internship, or thesis in each of the following: GIT
Java, Python, or Node.js
XML, JSON, HTML, CSS, or JavaScript
SAFe Software Development Principles
Amazon Web Services (AWS) and Google Cloud Platform (GCP)
Machine learning, statistical analysis, and predictive modeling
NLP (Scikit-Learn, SpaCity, Pytorch, or Spark NLP)
Contributing to largescale applications development, data science, or data analytics projects
Quantitative analysis techniques, including clustering, regression, and pattern recognition
Feature engineering, model training, hyperparameter tuning, distributed model training, and supervised and unsupervised learning implementation.

Responsibilities

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 that improve existing systems and expand capabilities.
Collaborate with Data Science team to transform data and integrate algorithms and models into automated processes.
Test and maintain systems and troubleshoot malfunctions.
Leverage knowledge of Google Cloud Platform tools for 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 to complex business problems.
Experiment with available tools and advise on new tools to provide optimal solutions that meet the requirements dictated by the model/use case.