drjobs Staff Software Development Engineer - Analytics Engineering

Staff Software Development Engineer - Analytics Engineering

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1 Vacancy
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Job Location drjobs

Hartford, CT - USA

Monthly Salary drjobs

$ 118450 - 284280

Vacancy

1 Vacancy

Job Description

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

As the nations leading health solutions company we reach millions of Americans through our local presence digital channels and more than 300000 purposedriven 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
If youre 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 possess an extensive repository of healthcare data that spans over 150 million individuals providing an unparalleled foundation for ambitious Data Engineers. In this role you will engage with complex business challenges harnessing modern tools and technologies to securely store process transform and enrich terabyte to petabyte scale healthcare data. Your work will underpin datadriven business decisions and contribute to our mission of delivering industrybest data products / software with a customerfirst mindset and teamoriented approach.

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. To execute on our vision and strategic imperatives we are looking for Staff Data Engineer that are committed to engineering excellence bold and innovative and are passionate about advancing and modernizing technologies.

Required Qualifications

  • Demonstrates a keen awareness of the member experience while seeking opportunities for automation and innovation to automate and optimize business operations.
  • Ability to work with Data Science & Products team to understand operations workflow and requirements.
  • Ability to understand and make architectural decisions on both UI and backend systems.
  • 7 years of experience with Big data and cloud architecture.
  • 4 years of handson experience building modern data pipelines within a major cloud platform (GCP AWS Azure).
  • 4 years of experience with deployment/scaling of apps on containerized environment (i.e. Kubernetes AKS) as well as on serverless compute services.
  • 7 years of experience with realtime and streaming technology (i.e. Azure Event Hubs Azure Functions Kafka Spark Streaming).
  • 2 years of experience working with LLMs and other Gen AI models.
  • 5 year(s) of soliciting complex requirements and managing relationships with key stakeholders.
  • 5 year(s) of experience independently managing deliverables.
  • 7 years of experience with SQL NoSQL.
  • 7 years of experience with Python (or a comparable scripting language).
  • 7 years of experience with ETL/ELT and building highvolume data pipelines.
  • 7 years of experience with Query optimization data structures transformation metadata dependency and workload management.


Preferred Qualifications

  • Experience in designing and building data engineering solutions in cloud environments (preferably GCP)
  • Experience of API/Microservices development
  • Experience with Git CI/CD pipeline and other DevOps principles/best practices
  • Understanding of software development methodologies including waterfall and agile.
  • Ability to leverage multiple tools and programming languages to analyze and manipulate data sets from disparate data sources
  • Strong collaboration and communication skills within and across teams
  • Google Professional Data Engineer/Architect Certification
  • Experience with microservices and SOA


Education

Bachelors or Masters Degree or equivalent work experience in Computer Science Information Systems Data Engineering Data Analytics Machine Learning or related field required. Masters Degree preferred.

Pay Range

The typical pay range for this role is:

$118450.00 $284280.00


This pay range represents the base hourly rate or base annual fulltime 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 shortterm incentive program in addition to the base pay range listed above. This position also includes an award target in the companys 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.

  • Nocost 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 anticipate the application window for this opening will close on: 04/30/2025

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


Required Experience:

Staff IC

Employment Type

Full-Time

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