Data Engineer

CVS Health•Irving, TX

1d•$135,907 - $144,200•Onsite

About The Position

We’re building a world of health around every individual — shaping a more connected, convenient and compassionate health experience. At CVS Health®, you’ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger – helping to simplify health care one person, one family and one community at a time. Position Summary: Caremark LLC., a CVS Health company, is hiring for the following role in Irving, TX: Data Engineer to develop, build, and manage large-scale data structures, pipelines, and efficient Extract/Load/Transform (ETL) workflows to address complex problems and support business applications.

Requirements

Master’s degree (or foreign equivalent) in Computer Science, Data Science, Statistics, Mathematics, Analytics, or a related field and three (3) years of experience in the job offered or related occupation.
Two (2) years of experience in Data analytics on large data sets in healthcare, business, or retail sector.
Two (2) years of experience in SAS or SQL.
Two (2) years of experience in Oracle, Teradata, or DB2.
Two (2) years of experience in Unix, Linux, or Shell scripting.
Two (2) years of experience in Informatica.
Two (2) years of experience in Cloud technologies: Azure, Amazon Web Services (AWS), or Google Cloud Platform (GCP).
Two (2) years of experience in Hadoop, Hive, and HDFS.
Two (2) years of experience in Airflow, Kafka, Hbase, Pig, MySQL, or NoSQL.
Two (2) years of experience in Spark, PySpark, or Scala.
Two (2) years of experience in Extract/Transform/Load (ETL) processes.
Two (2) years of experience in Designing data models and solutions for analytical and reporting use cases.
Two (2) years of experience in Data warehousing.
Two (2) years of experience in Big Data implementation.
Two (2) years of experience in Designing data architectures, including data pipelines, distributed computing engines, and machine learning infrastructure design.
Two (2) years of experience in Developing data and analytics-based platform capabilities, services, or products.
Two (2) years of experience in Healthcare data management processes and techniques, including data standards, interoperability, and proper data privacy.
Two (2) years of experience in Supporting large data, analytics, and technology modernization initiatives.

Responsibilities

Develop large scale data structures and pipelines to organize, collect and standardize data to generate insights and addresses reporting needs.
Write ETL (Extract, Transform, Load) processes, design database systems, and develop tools for real-time and offline analytic processing that improve existing systems and expand capabilities.
Collaborate with Data Science team to transform data and integrate algorithms and models into automated processes.
Test and maintain systems and troubleshoot malfunctions.
Leverage knowledge of Hadoop architecture, HDFS commands, and designing and optimizing queries to build data pipelines.
Utilize programming skills in Python, Java, or similar languages to build robust data pipelines and dynamic systems.
Build data marts and data models to support Data Science and other internal customers.
Integrate data from a variety of sources and ensure adherence to data quality and accessibility standards.
Analyze current information technology environments to identify and assess critical capabilities and recommend solutions to complex business problems.
Experiment with available tools and advise on new tools to provide optimal solutions that meet the requirements dictated by the model/use case.