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Staff Data EngineerOak St. Health • United States
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Staff Data Engineer

Oak St. Health
  • US
    United States
  • US
    United States
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À propos

Staff Data Engineer
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 Alpharetta, GA: Staff 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 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. Requirements: Master's degree (or foreign equivalent) in Computer Science, Data Science, Statistics, Mathematics, Business Analytics, or a related field and one (1) year of experience in the job offered or related occupation. Requires one (1) year of experience in each of the following: Analyzing large data sets from multiple data sources Data analysis for retail and/or healthcare industries Programming in Java, Python, or R SAS or SQL programming languages Hadoop architecture or HDFS commands Hadoop and Hive Designing and optimizing queries to build data pipelines Writing Extract/Transform/Load (ETL) processes Cloud technologies: Azure, Amazon Web Services (AWS), or Google Cloud Platform (GCP) Developing data and analytics-based platform capabilities, services, or products Pay Range: $126443.00/year to $236900.00/year. 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. This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above. This position also includes an award target in the company's equity award program. This full‑time position is eligible for a comprehensive benefits package designed to support the physical, emotional, and financial well‑being of colleagues and their families. The benefits for this position include medical, dental, and vision coverage, paid time off, retirement savings options, wellness programs, and other resources, based on eligibility. Additional details about available benefits are provided during the application process. This job does not have an application deadline, as CVS Health accepts applications on an ongoing basis. Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.
  • United States

Compétences linguistiques

  • English
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