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CVS Health Medicare Stars Data Engineer in Moon Township, Pennsylvania

Bring your heart to CVS Health. Every one of us at CVS Health shares a single, clear purpose: Bringing our heart to every moment of your health. This purpose guides our commitment to deliver enhanced human-centric health care for a rapidly changing world. Anchored in our brand — with heart at its center — our purpose sends a personal message that how we deliver our services is just as important as what we deliver. Our Heart At Work Behaviors™ support this purpose. We want everyone who works at CVS Health to feel empowered by the role they play in transforming our culture and accelerating our ability to innovate and deliver solutions to make health care more personal, convenient and affordable.

Position Summary

Aetna, a CVS Health company, is the nation's premier health innovation company helping people on their path to better health. We are building a new health care model that is easier to use, less expensive, and puts the consumer at the center of their care.

Aetna's Medicare Stars Data Intelligence Team is growing and expanding. This is exciting opportunity to join a high performing, collaborative team as a Data Engineer. Aetna’s Medicare Data Intelligence team supports the entire Medicare organization by participating in the design, build and management of large-scale data structures and pipelines and efficient Extract/Load/Transform (ETL) workflows. The Data Intelligence team is focused on creating a framework for developing large scale data structures and pipelines to organize, collect and standardize data that helps generate insights and addresses reporting needs focusing on complex business problems. We use advanced technology and tools, data modeling techniques, and ETL processes to enable data acquisition by leveraging big data within a cutting-edge environment. We’re focused on creating new opportunities that drive change in areas such as Medicare Stars, Service Operations, Patient Safety, population health management and member experience.

The Data Engineer will participate in the design, build and management of large-scale data structures and pipelines and efficient Extract/Load/Transform (ETL) workflows and assist in the development of large-scale data structures and pipelines to organize, collect, and standardize data that helps generate insights and addresses reporting needs. They apply understanding of key business drivers to accomplish their own work and uses expertise, judgement, and precedents to contribute to the resolution of moderately complex problems. They may leads portions of initiatives of limited scope, with guidance and direction. Primarily develops ETL (Extract / Transform / Load) processes, designs database systems and develops tools for real-time and offline analytic processing. Collaborates with client team to transform data and integrate algorithms and models into automated processes. Uses programming skills in .Net, C#,SSIS, Python or any of the major languages to build robust data pipelines and dynamic systems. Builds data marts and data models to support clients and other internal customers. Integrates data from a variety of sources, assuring that they adhere to data quality and accessibility standards.

Required Qualifications

  • Strong collaboration and communication skills within and across teams.

  • 2 or more years of progressively complex related experience.

  • Ability to leverage multiple tools and programming languages to analyze and manipulate data sets from disparate data sources.

  • Ability to understand complex systems and solve challenging analytical problems.

  • Experience with MSSQL Server, SSIS, Microsoft .Net Framework, ASP, C#, Visual Studio, & SQL or similar.

  • Some Knowledge of Cloud architecture including GCP and MS Azure

  • Experience designing & optimizing queries against data in Relational databases and Big Data environments.

  • Experience building data transformation and processing solutions.

  • Strong knowledge of large-scale search applications and building high volume data pipelines.

Preferred Qualifications

You should:

• Have a passion to help transform health care

• Have strong Interest in Health Care

• Be able to work in a fast-paced environment and meet tight deadlines

• Possess strong analytical and problem resolution skills

• Be able to communicate effectively with a diverse audience

• Encourage teamwork and a positive environment to improve team effectiveness

• Be resourceful and can quickly and successfully adapt to change

• Have an interest in obtaining full-time position within CVS Health

• Prior Database modeling experience preferred

EducationBachelor's degree or equivalent work experience in Computer Science, HealthCare Informatics, Computer Engineering, Information Systems, Machine Learning, or related discipline.

Pay Range

The typical pay range for this role is:

$72,100.00 - $154,500.00

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. In addition to your compensation, enjoy the rewards of an organization that puts our heart into caring for our colleagues and our communities. The Company offers a full range of medical, dental, and vision benefits. Eligible employees may enroll in the Company’s 401(k) retirement savings plan, and an Employee Stock Purchase Plan is also available for eligible employees. The Company provides a fully-paid term life insurance plan to eligible employees, and short-term and long term disability benefits. CVS Health also offers numerous well-being programs, education assistance, free development courses, a CVS store discount, and discount programs with participating partners. As for time off, Company employees enjoy Paid Time Off (“PTO”) or vacation pay, as well as paid holidays throughout the calendar year. Number of paid holidays, sick time and other time off are provided consistent with relevant state law and Company policies. For more detailed information on available benefits, please visit jobs.CVSHealth.com/benefits

We anticipate the application window for this opening will close on: 07/05/2024

We are an equal opportunity and affirmative action employer. We do not discriminate in recruiting, hiring, promotion, or any other personnel action based on race, ethnicity, color, national origin, sex/gender, sexual orientation, gender identity or expression, religion, age, disability, protected veteran status, or any other characteristic protected by applicable federal, state, or local law.

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