Data Engineer

CVS Health•Chicago, IL

4d•$113,235 - $158,620•Remote

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: CVS Pharmacy, Inc., a CVS Health company, is hiring for the following role in Chicago, 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.

Requirements

Master’s degree (or foreign equivalent) in Computer Science, Information Management, Analytics, Engineering, or a related field and two (2) years of experience in the job offered or a related occupation.
Two (2) years of experience with Unix or Shell scripting.
Two (2) years of experience with Agile methodologies or SAFe Software Development Principles.
Two (2) years of experience with Oracle, Teradata, or DB2.
Two (2) years of experience with JIRA, Rally, or Confluence.
Two (2) years of experience with Domain support for healthcare or retail organization.
Two (2) years of experience with Writing code scripts and deploying to production.
Two (2) years of experience with Relational database concepts.
Two (2) years of experience with Contributing to large-scale applications development, data science, or data analytics projects.
Two (2) years of experience with Data analytics on large data sets in healthcare, business, or retail sector.
Two (2) years of experience with Extract/Transform/Load (ETL) processes.
Two (2) years of experience with Designing data models and solutions for analytical and reporting use cases.
Two (2) years of experience with Designing data architectures, including data pipelines, distributed computing engines, and machine learning infrastructure design.
Two (2) years of experience with Healthcare data management processes and techniques, including data standards, interoperability, and proper data privacy.

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.