Full-Stack Developer - Python

CVS Health
Richmond, United States of America
yesterday

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Junior
Compensation
$ 173K

Job location

Richmond, United States of America

Tech stack

API
Agile Methodologies
Component-Based Software Engineering
Unit Testing
Code Review
Information Systems
Continuous Integration
Information Engineering
Software Debugging
DevOps
Github
Python
Machine Learning
Software Architecture
Systems Development Life Cycle
Software Engineering
Unstructured Data
Google Cloud Platform
Cloud Platform System
React
Delivery Pipeline
GIT
Information Technology
Data Analytics
Front End Software Development
Serverless Computing
Jenkins
Programming Languages
Microservices

Job description

If you're eager to make a real impact in the health care industry through your own meaningful contributions, explore a role in technology with CVS Health. Our journey calls for technical innovators and data visionaries: come help us pave the way.

At CVS Health, we are driven by a vision to redefine healthcare in America by placing people at the forefront of our efforts. We're seeking a motivated software engineer who shares our commitment to engineering excellence and innovation. As part of our team, you'll have the opportunity to contribute to advancing and modernizing technologies that shape the future of healthcare.

As a Software Engineer at CVS Health, you'll play a crucial role in building and delivering high-quality software that enhances customer experiences. You'll be involved in all phases of software engineering, from requirements analysis to deployment, while adhering to agile software development methodologies. Collaboration is key, as you'll work closely with cross-functional teams to deliver integrated solutions that meet the evolving needs of our business.

As a Software Engineer, you will:

  • Collaborate with the team to design and implement component of our software architecture.
  • Help deploy and maintain large scale software in Production, ensure operational excellence.
  • Write and execute unit tests, conduct code reviews, debug, and troubleshoot issue to ensure the reliability of our systems.
  • Help translate business requirements into software system in a cross-functional, agile environment.

As leaders in healthcare, our analytics and engineering teams deliver innovative solutions to business problems by collaborating with cross-functional teams in a dynamic and agile environment. You will be part of a team that values collaboration and encourages innovative thinking at all levels. You will be intellectually challenged to solve problems associated with large scale complex, structured and unstructured data, that will allow you to grow your technical skills and engineering expertise.

Requirements

  • 1+ years of Python development experience, including building and maintaining production-quality applications.
  • 1+ years of hands-on React development experience, with strong proficiency in modern front-end patterns and component-based architectures.
  • 1+ years of experience designing and delivering software solutions in cloud environments, preferably Google Cloud Platform (GCP), with an understanding of cloud-native services, deployment pipelines, and scalable architectures.
  • 1+ years of experience working with CI/CD pipelines, including proficiency with Jenkins and/or GitHub Actions for automated build, test, and deployment workflows., * Effective written and verbal communication skills within and across teams
  • Experience with complex systems and solving challenging analytical problems
  • Experience with Jenkins, Git, CI/CD pipeline, and other DevOps principles/best practices
  • Familiarity with different phases of software development lifecycle (SDLC)
  • Knowledge in GCP architecture, commands and experience designing & optimizing software and data engineering patterns in the GCP environment
  • Ability to leverage multiple tools and programming languages to analyze and manipulate data sets from disparate data sources
  • Proficient in APIs, microservices, and modern software patterns
  • Previous healthcare experience and domain knowledge

Education:

  • Bachelor's Degree or equivalent work experience in Computer Science, Information Systems, Data Engineering, Data Analytics, Machine Learning, or related field required.
  • Master's Degree preferred.

Benefits & conditions

$64,890 - $173,040 a year

Tuition reimbursement, Employee stock purchase plan, Health insurance, 401(k) matching, Paid time off, Family leave, Flexible spending account, Flexible schedule, 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.

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.

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