Staff Data Engineer

CVS Health

Remote

Quick summary

Work type: Remote
Location: Wellesley, MA
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 $176k

$130k most similar roles pay here $222k

This listing doesn't post a salary. Most similar roles pay $139,075–$213,375.

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 · Staff Data Engineer

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Caremark LLC, a CVS Health company, seeks a Staff Data Engineer in Wellesley, MA, to design and manage large-scale data structures and ETL workflows using advanced SQL tuning and security techniques with Oracle or similar databases. The role involves developing efficient data pipelines and mentoring junior team members while utilizing tools such as PL/SQL, Data Stage, Informatica, and Oracle Warehouse Builder. Candidates must have a bachelor’s degree in Computer Science, Engineering, or a related field and five years of experience in large-scale data warehouse development, Unix scripting with Korn Shell, and SQL programming. This position supports critical business applications within the healthcare industry at scale.

Skills

Oracle DataStage Informatica Oracle_Warehouse_Builder PL/SQL Unix KornShell SQL

What you'll do

Design and build large-scale data structures and pipelines.
Develop efficient ETL workflows using tools like Informatica or Oracle Warehouse Builder.
Mentor junior team members in data engineering practices.
Optimize SQL tuning, indexing, and security for Oracle databases.
Write Unix shell scripts and PL/SQL programs to automate tasks.

What we're looking for

Bachelor’s degree in Computer Science, Engineering, or related field required.
Five years of experience developing large data warehouses.
Expertise in Oracle databases with advanced partitioning and SQL tuning.
Proficiency in ETL tools like PL/SQL, DataStage, Informatica, and Oracle WB.
Experience programming with Unix, Korn Shell Scripting, SQL, and PL/SQL.

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