Data Engineer

Caremark LLC, a CVS Health company, is hiring for the following role in New York, NY: Data Engineer to 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 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 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. Salary Range: $118,102.00 to $173,040.00 per year Masters degree (or foreign equivalent) in Computer Science, Data Science, Statistics, Mathematics, Analytics, or a related field and completion of a university-level course, research project, internship, thesis, or 6 months of experience in each of the following: CI/CD, Jenkins, GIT, or DevOps; SAS or SQL; Java, Python, or R; Azure, Amazon Web Services (AWS), or Google Cloud Platform (GCP); Hadoop and HDFS; Spark, PySpark, or Scala; Machine learning, statistical analysis, and predictive modeling; Infrastructure components: GPUs or CPUs; NLP (Scikit-Learn, SpaCity, Pytorch, or Spark NLP); Extract/Transform/Load (ETL) processes; Cloud components including cluster management; Data warehousing; Big Data implementation; Machine learning algorithms; Designing data architectures, including data pipelines, distributed computing engines, and machine learning infrastructure design; and Contributing to large-scale applications development, data science, or data analytics projects. Apply to http://jobs.cvshealth.com OR by email: [email protected]. Must reference job title, location, and Req ID when applying. Requisition ID: R0942447