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

Market check

Salary context

How this pay compares to similar roles

Similar $163k
$110k most similar roles pay here $210k

This listing doesn't post a salary. Most similar roles pay $126,800–$199,050.

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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View all roles at CVS Health

At a glance

TL;DR · Data Engineer

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Caremark LLC., a CVS Health company, seeks experienced Data Engineers in Irving, TX to develop and manage large-scale data structures and ETL workflows using advanced technologies such as SAS, SQL, Oracle, Teradata, DB2, Unix/Linux shell scripting, Informatica, Hadoop, Hive, HDFS, Airflow, Kafka, Hbase, Pig, MySQL, NoSQL, Spark, PySpark, and Scala. The ideal candidate will have a Master’s degree in Computer Science, Data Science, Statistics, Mathematics, Analytics, or related field and three years of experience building data warehousing solutions and implementing big data projects to support complex business applications. This role involves developing robust data platforms and services that drive critical decision-making processes within the healthcare industry at scale.

Skills

SAS SQL Oracle Teradata DB2 Unix Linux Shell scripting Informatica Hadoop Hive HDFS Airflow Kafka Hbase Pig MySQL NoSQL Spark PySpark Scala Data warehousing Big Data implementation

What you'll do

  • Design and implement large-scale data structures and ETL workflows using Hadoop, Hive, and HDFS.
  • Develop efficient data pipelines with tools like Airflow, Kafka, and Spark for big data processing.
  • Build and manage data warehousing solutions to support complex business applications.
  • Create analytics-based platform capabilities using Informatica and other relevant technologies.
  • Optimize SQL queries and database performance on Oracle, Teradata, or DB2 systems.

What we're looking for

  • Master’s degree in Computer Science, Data Science, Statistics, Mathematics, Analytics, or related field required.
  • Three years of experience in data engineering, ETL development, and large-scale data management.
  • Proficiency in SAS/SQL for data manipulation and analysis.
  • Experience with Oracle, Teradata, DB2, Hadoop, Hive, HDFS, and NoSQL databases.
  • Expertise in Unix/Linux shell scripting, Informatica, Spark, PySpark, and Scala.
  • Knowledge of Airflow, Kafka, HBase, Pig, and data warehousing technologies.

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