Manager, Data Engineering

CVS Health•Woonsocket, RI

4d•$155,064 - $185,400•Remote

About The Position

Caremark, LLC., a CVS Health company, is hiring for the following role in Woonsocket, RI: Manager, Data Engineering 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. Duties include: 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; and experiment with available tools and advise on new tools to provide optimal solutions that meet the requirements dictated by the model/use case. Telecommuting available. Multiple positions.

Requirements

Master’s degree (or foreign equivalent) in Computer Information Systems, Computer Science, Information Technology, 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 Agile methodologies or SAFe Software Development Principles.
Two (2) years of experience with Data warehouse technologies: Oracle, Teradata, or DB2.
Two (2) years of experience with JIRA, Rally, or Confluence.
Two (2) years of experience with Software development for enterprise or web applications.
Two (2) years of experience with Unit and automation testing.
Two (2) years of experience Writing clean, high quality, high performing, scalable code.
Two (2) years of experience Analyzing large data sets from multiple data sources.
Two (2) years of experience with SQL programming languages.
Two (2) years of experience with Software development lifecycle.

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.