Company

Cvs HealthSee more

addressAddressConnecticut, United States
CategoryInformation Technology

Job description

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:

At CVS Health, everything starts with our vision to reimagine health care by putting people at the center of all we do and redefine health care in America. Our strategy is focused on making bold moves to deliver solutions that are personalized, connected and increasingly digital.

To execute on our vision and strategic imperatives, the Enterprise Data Services & Operations (EDSO) team is focused on building a modern, connected data ecosystem that accelerates the use of data, analytics, and advanced AI. We are looking for passionate and motivated Data Engineers to join our growing team of engineers. We are on a mission to transform technology and health care and you will play a pivotal role in executing our strategies and making our vision come true.  

Training and development will be a part of your role. Due to this you must have the ability to commute to one of the following office locations: Blue Bell, PA; Chantilly, VA; Florham Park, NJ; Harrisburg, PA; Hartford, CT; Jacksonville, FL; Orlando, FL; Wellesley, MA; Woonsocket, RI.

This is a hybrid role (3 days a week onsite) in the Aetna offices in Hartford, CT.

Responsibilities:

  • Develops scalable, repeatable and secure data structures and pipelines to organize, collect, standardize and integrate data that facilitate more complete, accurate and consistent data for insights and reporting
  • Builds efficient, high quality, integrated and increasingly real-time ETL/ELT processes using tools, programming languages and services
  • Delivers data capabilities and new data products to accelerate investments in data and democratize data across the enterprise and within the Health Care Business unit
  • Collaborates with data science team to transform data and integrate algorithms and models into automated processes 
  • Builds data models, data marts and extracts to support Data Science, internal customers and third-party administrators
  • Analyzes data, understands complex systems and solves challenging data sourcing and integration problems
  • Promotes engineering excellence by simplifying, optimizing, and automating processes and workflows
  • Innovates by leveraging and practicing agile techniques to achieve efficiency, boost productivity and improve processes


Required Qualifications:

  • 1+ years hands-on experience building and deploying data pipelines
  • 1+ years' experience using Python and any ETL tool
  • Working experience in Relational databases or Hadoop with strong understanding of SQL or HQL
  • Hands on experience in building solutions in public cloud environments (GCP, Azure or AWS)
  • Strong problem-solving skills and critical thinking ability


Preferred Qualifications:

  • Experience building ETL data pipelines in Ab-Initio or equivalent technology
  • Experience in GCP Cloud services such as Big Query, Composer, Airflow, DataProc.
  • Working background with tools Tableau, Alteryx and/or ThoughtSpot
  • Basic Understanding of some ETL Tools e.g., AbInitio, Native BigQuery etc.
  • Experience with bash shell scripts, UNIX utilities & UNIX Commands, CI/CD
  • Agile practice experience with methodologies like SAFe.
  • Healthcare domain experience.

Education:

  • Bachelor's degree or equivalent work experience in Computer Science, Engineering, Machine   Learning, or related discipline
  • Master’s degree or PhD preferred

Pay Range

The typical pay range for this role is:

$64,890.00 - $131,800.00

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: 04/20/2024
Refer code: 9118513. Cvs Health - The previous day - 2024-04-22 11:11

Cvs Health

Connecticut, United States
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