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Sr. Data Engineer
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Sr. Data Engineer
- Woonsocket, Rhode Island, United States
- Woonsocket, Rhode Island, United States
About
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 Woonsocket, RI: Sr. 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. Responsibilities
Develop large-scale data structures and pipelines to organize, collect, and standardize data to generate insights and address 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 the Data Science team to transform data and integrate algorithms and models into automated processes. Test, 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, Analytics, or a related field and one (1) year of experience in the job offered or related occupation. One (1) year of experience in each of the following: Software development best practices; Data analytics on large data sets in healthcare, business, or retail sector; Java, Python, or R; Agile methodologies or SAFe Software Development Principles; Azure, Amazon Web Services (AWS), or Google Cloud Platform (GCP); SQL or SAS; Spark, PySpark, or Scala; Databricks; Extract/Transform/Load (ETL) processes; Cloud components including cluster management; Contributing to large-scale applications development, data science, or data analytics projects; Designing data architectures, including data pipelines, distributed computing engines, and machine learning infrastructure design; and Healthcare data management processes and techniques, including data standards, interoperability, and proper data privacy. Compensation
Pay Range: $130,832.00/year to $166,860.00/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. Benefits
Full range of medical, dental, and vision benefits. Eligible employees may enroll in the company’s 401(k) retirement savings plan. Employee Stock Purchase Plan available for eligible employees. Fully‑paid term life insurance plan for eligible employees. Short‑term and long‑term disability benefits. Well‑being programs, education assistance, free development courses, CVS store discount, and discount programs with participating partners. Paid Time Off, vacation pay, paid holidays, and sick time consistent with relevant state law and company policies. Equal Opportunity
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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