C
CVS HealthRemote
Sr. Data Engineer
United States of America
Full Time
6 hours ago
$102,000 - $204,000 USD
H1B Sponsor LikelyKey skills
Medicare regulationsSales leadership in MedicareSQL ServerDB2SSISMicrosoft .Net FrameworkASPC#Visual StudioSASSQLGoogle Cloud Platform (GCP)Microsoft AzureSnowflakeData transformationData processingLarge-scale search applicationsHigh volume data pipelinesCross-team communicationC.NETETLData EngineeringAzureGCPLeadershipMentoringCommunicationCollaborationSales
About this role
CVS Health is committed to delivering a simpler, more meaningful, and personal health care experience. As a Senior Data Engineer, you will play a critical role in supporting Aetna members by evolving the Stars Data Engine to enhance data security and improve real-time data solutions.
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