Manager, Data Engineering

CVS Health is committed to shaping a more connected and compassionate health experience. They are seeking a Manager, Data Engineering to analyze data engineering problems and manage large-scale data structures, pipelines, and ETL workflows to support business applications.

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

Requirements:

• Master's degree (or foreign equivalent) in Computer Information Systems, Computer Science, Information Technology, Engineering, or a related field
• 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 with Writing clean, high quality, high performing, scalable code
• two (2) years of experience with 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