CrawlJobs Logo

Sr. Data Engineer

https://www.cvshealth.com/ Logo

CVS Health

Location Icon

Location:
United States, Woonsocket

Category Icon
Category:
IT - Software Development

Job Type Icon

Contract Type:
Employment contract

Salary Icon

Salary:

106038.00 - 180000.00 USD / Year

Job Description:

At CVS Health, we’re building a world of health around every consumer and surrounding ourselves with dedicated colleagues who are passionate about transforming health care. As the nation’s leading health solutions company, we reach millions of Americans through our local presence, digital channels and more than 300,000 purpose-driven colleagues – caring for people where, when and how they choose in a way that is uniquely more connected, more convenient and more compassionate. And we do it all with heart, each and every day.

Job Responsibility:

  • Analyze data engineering problems and develop, build and manage large-scale data structures, pipelines and efficient Extract/Load/Transform (ETL) workflows to address complex problems and support business applications
  • 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

Requirements:

  • Master’s degree (or foreign equivalent) in Computer Information Systems, Computer Science, Information Technology, Engineering, or a related field and two (2) years of experience in the job offered or a related occupation
  • Analyzing large data sets from multiple data sources
  • CI/CD, Jenkins, GIT, or DevOps
  • Programming in Java, Python, or R
  • SAS or SQL programming languages
  • Machine learning, statistical analysis or predictive modeling
  • “Big data” platforms including Hadoop (Azure, GCP, or AWS)
  • Agile methodologies or SAFe Software Development Principles
  • Writing clean, high quality, high performing, scalable code
  • Testing, quality assurance, and troubleshooting
  • Designing data models and solutions for analytical and reporting use cases
What we offer:
  • Full range of medical, dental, and vision benefits
  • 401(k) retirement savings plan
  • Employee Stock Purchase Plan
  • fully-paid term life insurance plan
  • short-term and long term disability benefits
  • 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 throughout the calendar year

Additional Information:

Job Posted:
June 24, 2025

Employment Type:
Fulltime
Work Type:
Remote work
Job Link Share:
Welcome to CrawlJobs.com
Your Global Job Discovery Platform
At CrawlJobs.com, we simplify finding your next career opportunity by bringing job listings directly to you from all corners of the web. Using cutting-edge AI and web-crawling technologies, we gather and curate job offers from various sources across the globe, ensuring you have access to the most up-to-date job listings in one place.