Manager, Data Engineering

CVS Health•Woonsocket, RI

2d•$140,650 - $185,400•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: Caremark LLC, a CVS Health company, is hiring for the following role in Woonsocket, RI: Manager, Data Engineering to plan, initiate, and manage information technology (IT) projects for data engineering and product teams. Duties include: develop large scale data structures and pipelines to organize, collect and standardize data to generate insights and addresses reporting needs; coordinate data engineering activities and strategy across engineering, product and platform experience teams and stakeholders; track dependencies, prioritize escalations, and resolve technical issues; 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; and supervise junior Data Engineers. Telecommuting available. Multiple positions.

Requirements

Master’s degree (or foreign equivalent) in Computer Science, Software Engineering, Data Science, Statistics, Mathematics, Analytics, or a related field
Two (2) years of experience in the job offered or related occupation
Two (2) years of experience in Software development for enterprise or web applications
Two (2) years of experience in Data analysis for health care industry, products, or systems
Two (2) years of experience in CI/CD, Jenkins, GIT, or DevOps
Two (2) years of experience in Java, Python, or R
Two (2) years of experience in Agile methodologies or SAFe Software Development Principles
Two (2) years of experience in Oracle, Teradata, or DB2
Two (2) years of experience in JIRA, Rally, or Confluence
Two (2) years of experience in Cloud technologies: Azure, Amazon Web Services (AWS), or Google Cloud Platform (GCP)
Two (2) years of experience in Hadoop and Hive
Two (2) years of experience in SAS or SQL programming languages
Two (2) years of experience in Spark, PySpark, or Scala
Two (2) years of experience in Designing data models and solutions for analytical and reporting use cases
Two (2) years of experience in Providing domain support for healthcare or retail pharmacy organization

Responsibilities

Develop large scale data structures and pipelines to organize, collect and standardize data to generate insights and addresses reporting needs
Coordinate data engineering activities and strategy across engineering, product and platform experience teams and stakeholders
Track dependencies, prioritize escalations, and resolve technical issues
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
Supervise junior Data Engineers