Lead Cloud Engineer

CVS Health

Remote

Quick summary

Work type: Remote
Location: Woonsocket, RI
Posted: 5 days ago
Closes: Jul 6, 2026
Nearby: 99+ roles within 25 mi

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Salary context

How this pay compares to similar roles

Similar $178k

$128k most similar roles pay here $220k

This listing doesn't post a salary. Most similar roles pay $145,417–$209,937.

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 409 open roles on FindRole.

Listed pay typically runs $118,450–$284,280 across 135 roles with salary data.

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At a glance

TL;DR · Lead Cloud Engineer

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Caremark LLC, a CVS Health company, seeks a Lead Cloud Engineer to build, develop, and maintain cloud-native software web applications in support of business needs and end customers. This role involves working within the Software Development Lifecycle (SDLC) to create scalable solutions using technologies such as Java, Python, or R on platforms like Azure, AWS, or GCP. The engineer will also manage big data implementations involving Hadoop, Hive, and HDFS, alongside machine learning models and ETL processes. Key responsibilities include leveraging visualization tools like PowerBI or Tableau for data insights and collaborating with internal partners in a large matrixed organization to ensure product management success at scale.

Skills

AWS Azure GCP Java Python R Hadoop Hive HDFS SAS SQL MySQL PowerBI Tableau Spark Airflow Kafka Hbase PySpark Scala Machine learning Statistical analysis Predictive modeling Relational database concepts Big Data implementation Data warehousing ETL processes

What you'll do

- Build and maintain cloud-native software applications using Azure, AWS, or GCP.
- Develop ETL processes for data extraction, transformation, and loading.
- Implement big data solutions including Hadoop, Hive, and HDFS.
- Conduct machine learning and predictive modeling projects.
- Manage end-to-end data science lifecycle from project initiation to deployment.

What we're looking for

Requires 2+ years of experience in software development lifecycle (SDLC).
Proficient in Java, Python, or R and cloud platforms like AWS, Azure, GCP.
Expertise in Hadoop ecosystem tools including Hive, HDFS, Spark, Kafka, PySpark.
Experience with data warehousing, ETL processes, and big data implementation.
Skilled in machine learning, statistical analysis, predictive modeling, and SQL.
Knowledge of visualization tools such as PowerBI or Tableau and relational databases.

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