Senior Software Development Engineer

CVS Health

Remote

Quick summary

Work type
Remote
Location
Woonsocket, RI
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 · Senior Software Development Engineer

We are seeking a mid-level data analyst to join our dynamic healthcare team. In this role, you will work on large-scale data sets to drive insights in the healthcare sector using Hadoop, R, or Python. Your day-to-day responsibilities include implementing software development lifecycle best practices and modernizing technology initiatives with Google Cloud. You should be proficient in Oracle or Hibernate and have experience with IBM Mainframe COBOL, JCL, or CICS. This position offers a unique opportunity to tackle complex data challenges at scale within the healthcare industry, contributing to critical business decisions through advanced analytics and technological innovation.

What you'll do

  • Analyze large healthcare, business, or retail datasets using advanced tools.
  • Develop software solutions following the SDLC and industry best practices.
  • Utilize Hadoop, R, or Python for complex data processing tasks.
  • Implement database technologies like Hibernate or Oracle in projects.
  • Migrate legacy systems to modern platforms using COBOL, JCL, CICS.
  • Execute large-scale data analytics initiatives for technology modernization.

What we're looking for

  • Experience in data analytics on large datasets in healthcare, business, or retail sectors.
  • Proficiency in Hadoop, R, Python, Hibernate, and Oracle.
  • Knowledge of Google Cloud Platform and software development lifecycle best practices.
  • Expertise in IBM Mainframe technologies including COBOL, JCL, and CICS.
  • Involvement in large data analytics and technology modernization initiatives.

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