Data Engineer

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. Duties include: 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; 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. Masters degree (or foreign equivalent) in Computer Science, Data Science, Electrical Engineering, Computer Information Systems, or a related field and 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; andFeature engineering, model training, hyperparameter tuning, distributed model training, and supervised and unsupervised learning implementation. Apply at http://jobs.cvshealth.com/. OR by email: [email protected]. Must reference job title, location, and Req ID when applying. Requisition ID: R0942311