Sr. Data Engineer

CVS Health

Remote

Quick summary

Work type: Remote
Location: High Point, NC
Posted: 6 days ago
Closes: Jul 6, 2026
Nearby: 5 roles within 25 mi

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Salary context

How this pay compares to similar roles

Similar $172k

$129k most similar roles pay here $215k

This listing doesn't post a salary. Most similar roles pay $137,350–$207,054.

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. Data Engineer

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Caremark LLC, a CVS Health company, seeks a Senior Data Engineer in High Point, NC, to design and manage large-scale data structures and pipelines for business applications. This role involves building efficient ETL workflows and requires expertise in analyzing complex datasets from diverse sources within the retail or healthcare sectors. The ideal candidate will have extensive experience with Java, Python, or R programming languages, as well as proficiency in SAS and SQL. Additionally, knowledge of databases such as Oracle, Teradata, or DB2 is essential for handling high-volume data processing tasks at scale.

Skills

Python Java R SAS SQL Oracle Teradata DB2

What you'll do

Design and build large-scale data structures and pipelines for business applications.
Manage efficient ETL workflows to process and analyze complex datasets.
Analyze large data sets from multiple sources in retail or healthcare industries.
Program using Java, Python, or R to develop data analysis solutions.
Utilize SAS or SQL programming languages for advanced data manipulation tasks.

What we're looking for

Master’s degree in Computer Science, Electrical Engineering, Data Science, Statistics, Mathematics, Analytics, or related field required.
At least 2 years of experience analyzing large data sets from multiple sources.
Experience with data analysis for retail and/or healthcare industries needed.
Proficiency in Java, Python, or R programming languages required.
Expertise in SAS or SQL programming languages essential.
Strong background in working with Oracle, Teradata, or DB2 databases.

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