Data Engineer - ML Platforms

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Join CVS Health as a Data Engineer: Revolutionize ML Platforms

At CVS Health, our vision is clear—bringing our heart to every moment of your health. This guiding principle shapes our commitment to deliver personalized, human-centric healthcare that evolves with the dynamic needs of the world. At the core of our brand, we prioritize not only the services we deliver but also the way we deliver them, ensuring a personal touch in every interaction.

Our distinct culture is powered by Heart At Work Behaviors™, encouraging every employee at CVS Health to feel empowered as they play a crucial role in transforming our healthcare approach and accelerating innovation.

Job Summary: Data Engineer - ML Platforms

As a Data Engineer specializing in ML Platforms at CVS Health, you will have the opportunity to:

  • Analyze complex data structures and craft large-scale data engineering pipelines.
  • Design and implement data ingestion pipelines using APIs, third-party tools, or custom codes within a Cloud environment.
  • Collaborate with cross-functional teams to translate business requirements into technical specifications.
  • Create and standardize massive scale data structures and pipelines to facilitate data-driven insights and reporting capabilities.
  • Implement robust data validation processes to ensure data accuracy and consistency.
  • Utilize your strong programming skills in SQL, pyspark, Python, or Java to develop sophisticated data systems.
  • Optimize pipelines, refine coding practices, and work with distributed computing and model training.

Who Should Apply?

Ideal candidates will be robust learners with a passion for continuously updating their expertise in business, algorithmic knowledge, and technological advancements. Required for success:

  • At least 3 years of experience building cloud-native analytical products in GCP, Azure, or AWS, with a preference for Google Cloud Platform (GCP).
  • Experience in scalable distributed computation frameworks like Spark and knowledge of Dev/ML Ops models.
  • Proficiency in programming languages such as SQL, Python, pyspark, Java/Scala. Familiarity with UNIX commands is also essential.

Preferred Qualifications:

Experience in the healthcare domain, hands-on ML programming in Python, and expertise in ML platforms and toolsets like Vertex AI will be advantageous. GCP Certifications would also be beneficial.

Education & Pay Range:

A Bachelor’s degree in Mathematics, Statistics, Computer Science, or a related discipline is required, with a Master’s degree preferred. The typical pay range for this role is $72,100.00 - $144,200.00, plus potential bonuses and incentives.

Additional Benefits:

Join CVS Health and enjoy a comprehensive benefits package including medical, dental, and vision insurance, 401(k), employee stock purchase plans, life insurance, disability benefits, substantial PTO, and discounts. These benefits accompany our commitment to enhancing the wellbeing and financial security of our employees.

Apply by 07/29/2024 to start your journey with a company that puts its heart into not only healthcare but its people as well. Visit for more on our offerings. Don’t miss this opportunity to make a profound impact with CVS Health.