Staff Data Engineer
About The Position
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: 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.
Requirements
- Bachelor’s degree (or foreign equivalent) in Computer Science, Data Science, Statistics, Mathematics, Analytics, Information Technology, or a related field and five (5) years of progressive, post-baccalaureate experience in the job offered or related occupation.
- Five (5) years of experience in requirement analysis, including design and development of end-to-end solutions, implementation and maintenance of software applications.
- Five (5) years of experience in design and development of large scale, high volume, and high-performance data structures.
- Five (5) years of experience in CI/CD, Jenkins, GIT, or DevOps.
- Five (5) years of experience in Cloud technologies: Azure, Amazon Web Services (AWS), or Google Cloud Platform (GCP).
- Five (5) years of experience in programming in Java, Python, or R.
- Five (5) years of experience in SAS or SQL programming languages.
- Five (5) years of experience in databases: Oracle, Teradata, or DB2.
- Five (5) years of experience in Spark, PySpark, or Scala.
- Five (5) years of experience in Hadoop architecture or HDFS commands.
- Five (5) years of experience in Hadoop and Hive.
- Five (5) years of experience in Unix, Linux, or Shell scripting.
- Five (5) years of experience in Big data implementation.
Responsibilities
- 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.
Benefits
- Medical, dental, and vision coverage
- 401(k) retirement savings plan
- Employee Stock Purchase Plan
- Fully-paid term life insurance plan
- Short-term and long term disability benefits
- Numerous well-being programs
- Education assistance
- Free development courses
- CVS store discount
- Discount programs with participating partners
- Paid Time Off (PTO) or vacation pay
- Paid holidays
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What This Job Offers
Job Type
Full-time
Career Level
Senior
