Data Engineer

CVS Health•Downers Grove, IL

1d•$113,235 - $158,620•Hybrid

About The Position

Caremark, LLC, a CVS Health company, is hiring for the following role in Downers Grove, IL: Data Engineer to analyze data engineering problems and develop, build and manage large-scale data structures, pipelines and efficient Extract/Load/Transform (ETL) workflows to address complex problems and support business applications. Telecommuting available. Multiple positions.

Requirements

Master’s degree (or foreign equivalent) in Computer Science, Business Analytics, Computer Information Systems, Engineering, or a related field
Completion of a university-level course, research project, internship, or thesis in Java, Python, or Node.js
Completion of a university-level course, research project, internship, or thesis in Programming in R
Completion of a university-level course, research project, internship, or thesis in Data Visualization tools, including PowerBI or Tableau
Completion of a university-level course, research project, internship, or thesis in Machine learning, statistical analysis, and predictive modeling
Completion of a university-level course, research project, internship, or thesis in Decisions Analytics
Completion of a university-level course, research project, internship, or thesis in Data modeling and processing
Completion of a university-level course, research project, internship, or thesis in Database management systems
Completion of a university-level course, research project, internship, or thesis in Data Mining and analytics

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.