Sr Software Development Engineer

CVS Health

Remote

Quick summary

Work type
Remote
Location
Remote
Posted
6 days ago
Closes
Jul 6, 2026

Market check

Salary context

How this pay compares to similar roles

Similar $162k
$120k most similar roles pay here $208k

This listing doesn't post a salary. Most similar roles pay $128,825–$195,870.

Based on 240 similar postings.

Employer

About CVS Health

CVS Health is a leading American healthcare company operating retail pharmacies, pharmacy benefit management services, and a health insurance segment through Aetna, one of the nation''s largest health insurers. Industry: Healthcare & Pharmacy

CVS Health currently has 407 open roles on FindRole.

Listed pay typically runs $118,450–$284,280 across 133 roles with salary data.

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At a glance

TL;DR · Sr Software Development Engineer

CVS Pharmacy, Inc., a CVS Health company, is seeking a Senior Software Development Engineer to join their team in Woonsocket, RI, with telecommuting options available. This role involves designing and developing digital software applications and platforms using Node.js, SAS, Oracle databases, Java, Python, R, SQL, Hadoop, Tableau, and various NLP tools like Scikit-Learn and Pytorch. The ideal candidate will have expertise in machine learning operations, quantitative analysis techniques, data warehousing, and big data implementation to address complex business challenges within the healthcare industry at scale.

What you'll do

  • Design and develop digital software applications using Node.js.
  • Implement machine learning models with Scikit-Learn, SpaCy, PyTorch, or Spark NLP.
  • Develop scalable data lineage and model hosting solutions.
  • Create visualizations using Tableau for complex datasets.
  • Conduct quantitative analysis employing clustering and regression techniques.

What we're looking for

  • Master’s degree in Computer Science or a related field required.
  • Proficiency in Node.js, Java, Python, R, and SQL programming languages.
  • Experience with Hadoop and other big data platforms.
  • Expertise in Tableau for data visualization.
  • Knowledge of NLP tools like Scikit-Learn, SpaCy, PyTorch, Spark NLP.
  • Skills in machine learning operations including model versioning and deployment.

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