Staff Data Engineer

CVS Health•Woonsocket, RI

1d•$179,296 - $236,900•Hybrid

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 Woonsocket, RI: Staff 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. 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 Science, Data Science, Statistics, Mathematics, Analytics, or a related field and three (3) years of experience in the job offered or related occupation.
Three (3) years of experience in CI/CD
Three (3) years of experience in Programming in Java, Python, or R
Three (3) years of experience in SAS or SQL programming languages
Three (3) years of experience in Databases: Oracle, Teradata, or DB2
Three (3) years of experience in Hadoop architecture or HDFS commands
Three (3) years of experience in Hadoop and Hive
Three (3) years of experience in MySQL and Tableau
Three (3) years of experience in Writing Extract/Transform/Load (ETL) processes
Three (3) years of experience in Designing data models and solutions for analytical and reporting use cases
Three (3) years of experience in Cloud components, including clustering management.
Three (3) years of experience in Designing data architectures, including data pipelines, distributed computing engines, and machine learning infrastructure design
Three (3) years of experience in Developing and deploying predictive models or ML systems in a cloud environment (GCP, AWS or Amazon)
Three (3) years of experience in 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