Data Engineer

CVS Health • Sacramento, CA • 1d ago

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.

A Brief Overview

Designs, builds, and maintains the data infrastructure that supports the organization's data-related initiatives. Collaborates with cross-functional teams, including data scientists, analysts, and software engineers, to ensure the efficient and reliable processing, storage, and retrieval of data. Develops scalable data pipelines, optimizes data workflows, and ensures the quality and integrity of the data.

What you will do

Designs scalable and efficient data pipelines to extract, transform, and load data from various sources into data warehouses or data lakes.

Develops data pipelines that enable efficient data storage, retrieval, and analysis.

Implements data validation and quality checks to identify and address data anomalies or errors.

Designs data warehousing and data lake solutions that facilitate data storage, retrieval, and analysis.

Documents data engineering processes, workflows, and systems for reference and knowledge-sharing purposes.

Implements data quality checks and validation processes to ensure the accuracy, completeness, and consistency of the data.

Identifies opportunities to streamline data engineering processes, improve efficiency, and enhance the quality of deliverables.

Provides guidance and mentorship to junior data engineers to help them develop their technical skills and grow in their roles.

For this role you will need Minimum Requirements

2+ years work experience

Design, Develop and maintain optimal data pipeline to assemble large & complex data sets that meets analytics and business requirements

Education

Bachelor's Degree

Anticipated Weekly Hours

Time Type

Full time

Pay Range

The typical pay range for this role is:

$79,310.00 - $158,620.00

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.

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: 06/12/2025

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

We are an equal opportunity and affirmative action employer. We do not discriminate in recruiting, hiring, promotion, or any other personnel action based on race, ethnicity, color, national origin, sex/gender, sexual orientation, gender identity or expression, religion, age, disability, protected veteran status, or any other characteristic protected by applicable federal, state, or local law.

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