Sr. Data Engineer

CVS Health is dedicated to building a more connected and compassionate health experience for individuals. As a Senior Data Engineer, you will lead the development of the Stars Data Engine, enhancing data ingestion and security while streamlining workflows. Your role will involve managing large-scale data structures and mentoring junior staff to improve the Data Engine Framework.

Responsibilities:

• Manage and be responsible for the successful delivery of large-scale data structures and Pipelines and efficient Extract/Load/Transform (ETL) workflows
• Act as the data engineering team lead for large and complex projects involving multiple resources and tasks, providing individual mentoring in support of company objectives
• Apply Rapid Application Development and Lean techniques to direct work assignments and provide mentoring to junior staff to successfully direct improvements to the Data Engine Framework to support the constituent needs of the various Medicare Business units
• Help manage the evolution to a self-organizing, cross functional team structure that leverages iterative Delivery Processes with a focus on continuous delivery of valuable software

Requirements:

• 5-7 years of experience in Medicare, including state and federal regulations governing Medicare field agent programs
• 5–7 years of experience in sales leadership, ideally within Medicare Sales or Medicare-related programs
• Strong cross-team communication and collaboration skills
• Experience communicating technical information and results to non-technical clients in written and verbal form
• Proven ability to create innovative solutions to highly complex technical problems
• Experience leveraging multiple tools and programming languages to analyze and manipulate large data sets from disparate data sources
• Advanced knowledge in SQL Server and/or DB2, SSIS, Microsoft .Net Framework, ASP, C#, Visual Studio, SAS, & SQL or similar
• Knowledge of cloud technologies including (GCP, Azure, Snowflake)
• Experience building and implementing data transformation and processing solutions
• Has in-depth knowledge of large-scale search applications and building high volume data pipelines
• Bachelor's degree or equivalent work experience