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CVS Health

AWS QuickSight Dashboard Developer

Posted 21 Days Ago
Be an Early Applicant
16 Locations
130K-261K Annually
Senior level
16 Locations
130K-261K Annually
Senior level
Develop and maintain AWS QuickSight dashboards, optimize performance, mentor junior developers, and manage data workflows using SQL, Python, and PySpark.
The summary above was generated by AI

At CVS Health, we’re building a world of health around every consumer and surrounding ourselves with dedicated colleagues who are passionate about transforming health care.

As the nation’s leading health solutions company, we reach millions of Americans through our local presence, digital channels and more than 300,000 purpose-driven colleagues – caring for people where, when and how they choose in a way that is uniquely more connected, more convenient and more compassionate. And we do it all with heart, each and every day.

Position Summary

The Revenue Integrity- Advanced Cloud Engineering Solutions team is seeking a talented and experienced senior AWS QuickSight Dashboard Developer to design, develop, and maintain impactful data visualization solutions. The ideal candidate will have a strong background working in a cloud-based environment, preferably AWS, AWS QuickSight, SQL, Python, and PySpark. Knowledge or experience with machine learning, data modeling, LLMs, Databricks, and Amazon Sagemaker is a plus.

In this position, you will play a vital role in driving the successful delivery of our cloud-based infrastructure and applications, mentor junior team members, maintain thorough documentation, and deliver high-quality results within tight timelines.

Key Responsibilities:

  • Design, develop, and deploy insightful dashboards and reports using AWS QuickSight.
  • Collaborate with stakeholders to gather requirements and translate them into functional, user-friendly visualizations.
  • Optimize dashboard performance to ensure efficiency and usability.
  • Write and manage efficient SQL queries for data extraction, transformation, and integration.
  • Utilize Python and PySpark for advanced data analytics and transformation workflows.
  • Work in an Agile environment, participating actively in sprint planning, reviews, and retrospectives.
  • Provide mentorship and guidance to junior team members, fostering their technical and professional growth.
  • Maintain thorough and accurate documentation for developed solutions, ensuring clarity and alignment with project standards.
  • Manage and prioritize tasks effectively to meet tight deadlines while maintaining high-quality deliverables. Self-directed.
  • Leverage experience in cloud platforms (e.g., AWS) to optimize solutions and workflows.
  • Troubleshoot and resolve technical issues with dashboards and integrations.

Stay updated with the latest AWS services and emerging trends in the industry.
 

Required Skills and Qualifications:

  • Proven experience as an Application Development Engineer or similar role, with AWS QuickSight or other dashboard tools such as Tableau or Power BI.
  • Strong proficiency in SQL for querying and manipulating data.
  • Hands-on experience with Python and PySpark for data processing and analytics.
  • Experience working in cloud environments, particularly with AWS services like S3, Glue, and Athena.
  • Strong understanding of Agile methodology and familiarity with tools like Rally or Jira.
  • Ability to mentor and guide junior team members effectively.
  • Excellent documentation skills to ensure clarity and maintainability of solutions.
  • Strong problem-solving skills and ability to work collaboratively under tight timelines.
  • Excellent communication and collaboration skills, with the ability to work effectively in a team environment.

Preferred Qualifications:

  • Experience with big data technologies and ETL processes.
  • Hands-on-experience with machine learning techniques, data modeling, LLMs, Databricks, and Amazon Sagemaker.
  • Familiarity with cloud-native tools and technologies and storage.
  • Managed Healthcare experience or knowledge of health insurance concepts, preferably Risk adjustment.
  • Strong communication skills and ability to present complex data insights to stakeholders.

Education:

  • Bachelor's degree in Computer Science, Engineering, or a related field or equivalent work experience.

Pay Range

The typical pay range for this role is:

$130,295.00 - $260,590.00

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.  This position also includes an award target in the company’s equity award program. 
 

Our people fuel our future. Our teams reflect the customers, patients, members and communities we serve and we are committed to fostering a workplace where every colleague feels valued and that they belong.

Great benefits for great people

We take pride in our comprehensive and competitive mix of pay and benefits – investing in the physical, emotional and financial wellness of our colleagues and their families to help them be the healthiest they can be. In addition to our competitive wages, our great benefits include:

  • Affordable medical plan options, a 401(k) plan (including matching company contributions), and an employee stock purchase plan.

  • No-cost programs for all colleagues including wellness screenings, tobacco cessation and weight management programs, confidential counseling and financial coaching.

  • Benefit solutions that address the different needs and preferences of our colleagues including paid time off, flexible work schedules, family leave, dependent care resources, colleague assistance programs, tuition assistance, retiree medical access and many other benefits depending on eligibility.

For more information, visit https://jobs.cvshealth.com/us/en/benefits

We anticipate the application window for this opening will close on: 04/08/2025

Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.

Top Skills

Amazon Sagemaker
Aws Athena
Aws Glue
Aws Quicksight
Aws S3
Databricks
Machine Learning
Pyspark
Python
SQL

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