drjobs Data Engineer - Retail Analytics Engineering

Data Engineer - Retail Analytics Engineering

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1 Vacancy
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Job Location drjobs

Irving, TX - USA

Monthly Salary drjobs

$ 72100 - 158620

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

CVS Health has a rich set of healthcare data for more than 150 million individuals and provides the best foundation for any ambitious data engineer. As a member of the Data and Analytics organization you will be responsible for designing building and maintaining bestinclass data engineering pipelines aimed at driving bestinclass solutions primarily using Cloud platforms like GCP(or Azure). You will collaborate with crossfunctional teams including data scientists analysts business SMEs and software engineers to ensure the efficient and reliable processing storage and retrieval of data. You will Provide bestinclass environment where everyone brings their heart to work to build technical solutions to support customers.

As aData Engineeryou will:

  • Manage and support production platform to ensure the quality performance and availability of the services that meets business requirements for various CVS Lines of Business
  • Identify design and implement engineering process improvements through automating manual processes optimizing data pipelines redesigning services for greater scalability.
  • Required to support an on call 24 x 7 cloud Production Environment supporting and administering products & Services involving platform technologies like GCP Azure etc. Work handson with customers to develop migrate and debug services issues.
  • Ensure server/process documentation is up to date and appropriate or create documentation where none may exist.
  • Tier 2 triage troubleshooting remediation and escalation of tickets tied to the product support function.
  • Build data pipelines using Azure/GCP platform


Required Qualifications

12 years of related work experience including:

  • Experience in Azure/GCP (Big Query GCS Pub/Sub DataProc Airflow/Composer Snowflake Azure Cloud Services etc.
  • Experience in Unix/Shell Scripting
  • Experience in Python
  • Experience in SQL
  • 1 2 years experience utilizing programming skills to build robust data pipelines tending totowards Data Integration and Data Quality processes


Preferred Qualifications

  • Experience in Service Now ticketing system Hands on experience in designing and building data engineering solutions in cloud environments (preferably Azure/GCP).
  • Handson experience with languages like Python PySpark SQL UNIX/Linux scripting to access extract manipulate and summarize data. Strong understanding of query optimization data structures transformation metadata dependency and workload management Experience with CI/CD pipeline and other DevOps principles/best practices
  • Experience with Cloud based tech stack and Cloud components including cluster management Kubernetes or other containerized services storage and workspace management.
  • Experience working in multideveloper environment using version control (i.e. Git).
  • Certified Cloud Engineer in Data engineering track: Azure/GCP preferred
  • Good articulation in communicating complex technical subjects to nontechnical audience
  • Working experience with automation and orchestration tools
  • Experience with modern API and microservice patterns
  • Knowledge and working experience in agile frameworks like Scrum. Kanban etc.
  • Familiarity in Retail / Healthcare / Insurance industry;Knowledge of Health care industry


Education
Bachelors degree or equivalent work experience in Computer Science Engineering Machine Learning (STEM field) or related discipline Masters degree or PhD preferred

Anticipated Weekly Hours

40

Time Type

Full time

Pay Range

The typical pay range for this role is:

$72100.00 $158620.00

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.

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: 06/30/2025

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

Employment Type

Full-Time

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