Sr, Manager, Data Engineering

CVS Health•Woonsocket, RI

1d•$179,296 - $236,900•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 Woonsocket, RI: Sr. Manager, Data Engineering 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 Data Science, Statistics, Mathematics, Analytics, Business Administration, Finance, or a related field and three (3) years of experience in the job offered or related occupation. Employer will accept a combination of education.
Three (3) years of experience in Business and IT strategic delivery.
Three (3) years of experience in Budget management.
Three (3) years of experience in Portfolio/Program/Product Management.
Three (3) years of experience in Annual planning.
Three (3) years of experience in Cloud migration and data ingestion.
Three (3) years of experience in Risk Management and People Management.
Three (3) years of experience in Regulatory Compliance Delivery.
Three (3) years of experience in Management Information Systems.
Three (3) years of experience in Enterprise CRM Implementation.
Three (3) years of experience in Business and IT process enhancements.
Three (3) years of experience in Writing Extract/Transform/Load (ETL) processes.
Three (3) years of experience in Agile productivity tools and leading platform capabilities, services, or products.
Three (3) years of experience in Product management in a large, matrixed organization with many internal partners.

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.