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- Providence, Rhode Island, United States
- Providence, Rhode Island, United States
Über
Responsibilities 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.
Requirements
Master's degree (or foreign equivalent) in Computer Science, Analytics, Statistics, Computer Information Systems, Engineering, or a related field and at least two (2) years of experience in the job offered or related occupation.
Two (2) years of experience in each of the following: CI/CD, Jenkins, GIT, or DevOps; Java, Python, or Node.js; JIRA, Rally, or Confluence; 'Big data' platforms including Hadoop (Azure, GCP, or AWS); SAS or SQL programming languages; Visualization tools, including PoweBI and Tableau; Spark, PySpark, and Scala; Extract/Transform/Load (ETL) processes; Cloud components including cluster management; and Big Data implementation.
Pay Range $130832.00/year to $144200.00/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.
Benefits The Company offers a full range of medical, dental, and vision benefits. Eligible employees may enroll in the Company's 401(k) retirement savings plan, and an Employee Stock Purchase Plan is also available for eligible employees. The Company provides a fully-paid term life insurance plan to eligible employees, and short-term and long term disability benefits. CVS Health also offers numerous well-being programs, education assistance, free development courses, a CVS store discount, and discount programs with participating partners. As for time off, Company employees enjoy Paid Time Off ("PTO") or vacation pay, as well as paid holidays throughout the calendar year. Number of paid holidays, sick time and other time off are provided consistent with relevant state law and Company policies.
Great benefits for great people
We take pride in offering a comprehensive and competitive mix of pay and benefits that reflects our commitment to our colleagues and their families.
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.
EEO Statement Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.
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Sprachkenntnisse
- English
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