Staff Data Engineer

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.Position Summary
CVS Health is looking for a dynamic and driven Staff Data Engineer -to implement data & db based solutions for large modernization program. In this role, reporting directly to Executive Director, Solution Engineering you will be working across multiple engineering teams to drive the delivery of our pharmacy products focused on helping people live healthier lives. You should have the ability to prioritize well, communicate clearly, have a consistent track record of delivery and excellent software engineering skills. A successful candidate will be a highly motivated, collaborative individual; motivated to achieve results in a fast-paced environment. Required Qualifications

• 7+ years of professional experience
• 5+ years of professional experience in Database Technologies - Oracle, Mongo, Redis
• 5+ years of professional experience in Data Integration Technologies like Goldengate or Equivalent Technologies
• 3+ years experience in Cloud Database Technologies - Spanner, BigQuery, AzureSQL or Equivalent Technologies
• 2+ years of Datamodel of OLTP & Datawarehouse - Ability to Understand Requirements, Datamodels to create Pipelines

• Experience in building and deploying services using Gradle, Maven, Jenkins, GitHubActions etc. as part of CI/CD process
• Unit test various Data Integration pipelines.
• Knowledge of ETL products and working on Structure and Unstructured data
• Certification in Cloud Administration/Data Engineer
• Certification as Cloud Architect
• Experience in Data Engineering skills for writing Data Pipelines using Dataflow or Python or Azure Datafactory
• Experience working in Google Cloud Platform
• Experience with Datawarehouse Databases - BigQuery
• Experience in Python or Java
• Certification in Cloud Architect

• Affordable medical plan options, a 401(k) plan (including matching company contributions), and an employee stock purchase plan.
• No-cost programs for all colleagues including wellness screenings, tobacco cessation and weight management programs, confidential counseling and financial coaching.
• Benefit solutions that address the different needs and preferences of our colleagues including paid time off, flexible work schedules, family leave, dependent care resources, colleague assistance programs, tuition assistance, retiree medical access and many other benefits depending on eligibility.