Senior Data Engineer

CVS Health

Remote

Quick summary

Work type: Remote
Location: Irving, TX
Posted: 6 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 $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 · Senior Data Engineer

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Caremark, LLC, a CVS Health company, seeks a Senior Data Engineer to join their team in Irving, TX, with telecommuting options available. This role involves analyzing complex data engineering problems and developing large-scale data structures and pipelines for efficient ETL workflows that support business applications. The ideal candidate will have experience in machine learning operations, including model versioning and deployment, as well as designing data models for analytical use cases. They should be proficient in Python, R, or SQL, and familiar with tools like Spark, Airflow, Kafka, HBase, Pig, MySQL, NoSQL, Oracle, Teradata, and DB2. Additionally, the candidate must contribute to large-scale applications development and possess expertise in healthcare data management processes, including data privacy standards. The position requires a Master’s degree in Computer Science or related field and one year of relevant experience.

Skills

Python R SQL Spark Airflow Kafka Hbase Pig MySQL NoSQL Oracle Teradata DB2 CI/CD Jenkins GIT DevOps Cloud components Cluster management

What you'll do

Analyze complex data engineering problems to develop scalable ETL workflows.
Design and build large-scale data architectures for analytical and reporting use cases.
Implement machine learning operations with model versioning and deployment orchestration.
Contribute to software development lifecycle in healthcare, business, or retail sectors.
Manage cloud components including cluster management and distributed computing engines.
Apply quantitative analysis techniques like clustering, regression, and pattern recognition.
Ensure compliance with data privacy standards and manage interoperability in healthcare.

What we're looking for

Master’s degree in Computer Science or related field with 1 year of experience.
Experience in machine learning operations, model versioning, and deployment.
Design data models for analytical use cases and contribute to large-scale projects.
Proficient in Python/R/SQL, Spark, Airflow, Kafka, Hbase, Pig, MySQL, NoSQL.
Expertise in quantitative analysis techniques like clustering, regression, pattern recognition.
Knowledge of healthcare data management processes, standards, interoperability, privacy.
Experience with cloud components and cluster management.

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