As a Senior Data Engineer, you will play a critical role in supporting our Aetna members and our business by focusing on evolving the Stars Data Engine to a new Ecosystem that allows for expanding our data ingestion footprint while increasing data security, reducing data replication and becoming more real-time solutions related to the data outputs.
Responsibilities Include:- 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.
***This is a telework position and must be worked within the United States***Required Qualifications- 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.
Education- Bachelor's degree or equivalent work experience
Anticipated Weekly Hours40
Time TypeFull time
Pay RangeThe typical pay range for this role is:
$101,970.00 - $203,940.00
This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls. The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors. This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above.
Great benefits for great peopleWe take pride in offering a comprehensive and competitive mix of pay and benefits that reflects our commitment to our colleagues and their families.
This full-time position is eligible for a comprehensive benefits package designed to support the physical, emotional, and financial well-being of colleagues and their families. The benefits for this position include medical, dental, and vision coverage, paid time off, retirement savings options, wellness programs, and other resources, based on eligibility.
Additional details about available benefits are provided during the application process and on Benefits Moments.
