• Job Description

  Req#: 2468416BR
  Aetna Resources LLC, a CVS Health company is hiring for the following role in New York, NY: Design, build and manage large scale data structures, pipelines and efficient Extract/Load/Transform (ETL) workflows to 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; 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. See Required Qualifications. Aetna Resources LLC, a CVS Health company is hiring for the following role in New York, NY: Design, build and manage large scale data structures, pipelines and efficient Extract/Load/Transform (ETL) workflows to 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; 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. See Required Qualifications. Master’s degree (or foreign equivalent) in Statistics, Mathematics, Computer Science, Data Science, Engineering, or a related field and completion of a university-level course, research project, internship, thesis, or 6 months of experience with each of the following: Software development for enterprise or web applications; Agile methodologies or SAFe Software Development Principles; Programming in R; SQL programming languages; “Big data” platforms including Hadoop (Azure, GCP, or AWS); JIRA; Confluence; Jenkins; GIT; DevOps; Python. See Required Qualifications. This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls. The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors.

• About the company

  At CVS Health, we share a clear purpose: helping people on their path to better health. Through our health services, plans and community pharmacists, we’re pioneering a bold new approach to total health. Making quality care more affordable, accessible, simple and seamless, to not only help people get well, but help them stay well in body, mind and spirit.

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