Lead Director, Data Engineering

CVS Health

Remote

Quick summary

Work type: Remote
Location: Irving, TX
Posted: 4 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 $186k

$139k most similar roles pay here $231k

This listing doesn't post a salary. Most similar roles pay $149,788–$222,437.

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 Director, Data Engineering

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Caremark LLC, a CVS Health company, seeks a Lead Manager of Data Engineering in Irving, TX, to oversee data engineering teams responsible for daily operations and strategic planning across the enterprise. This senior role involves directing analytics projects and experiments that inform solutions for pharmacy pricing, medical costs, risk scores, onboarding, and customer engagement journeys. The position requires expertise in Spark, PySpark, Scala, Hadoop, Hive, and Big Data implementation to manage large-scale data-driven IT projects. Candidates must have a Master’s degree in Computer Science, Data Science, Statistics, Mathematics, Analytics, Information Systems, or related field with four years of experience in retail and healthcare data analysis, project management, and leadership roles. The ideal candidate will mentor team members, present analytics results to executives, and translate business goals into technical requirements using advanced Excel skills and MS Office tools.

Skills

Spark PySpark Scala Hadoop Hive Big Data MS Excel VBA Pivot Tables CI/CD AWS Kubernetes Python SQL PostgreSQL Git JIRA Tableau Power BI Agile Scrum

What you'll do

Direct daily data engineering operations across the enterprise, setting priorities and executing strategic roadmaps.
Lead analytics projects using advanced statistical methods for pharmacy benefits management and healthcare businesses.
Manage large data-driven IT projects involving model building and performance evaluation to provide health metric insights.
Identify business needs through advanced analytics and translate results into actionable business value.
Mentor Data Engineers and junior team members, reviewing their work on analytics projects.

What we're looking for

Master’s degree in Computer Science, Data Science, Statistics, Mathematics, Analytics, Information Systems or related field required.
Four years of experience in data analysis for retail and healthcare industries.
Proficiency in Spark, PySpark, Scala, Hadoop, and Hive for big data implementation.
Experience managing consulting engagements with requirements gathering and project planning.
Leadership in business analyses, cross-functional projects, and executive presentations.
Expertise in MS Excel including advanced formulas, VBA macros, pivot reporting, and conditional formatting.

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