Staff Data Engineer

CVS Health

. Design and develop complex, large-scale data structures and pipelines .

Posted 9/28/2026full-timeUnited StatesLead💰 $106,605 - $260,590 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in designing and developing complex data structures and pipelines, with a strong focus on ETL processes, machine learning, and analytics tools. Proven ability to collaborate with cross-functional teams and mentor junior members while ensuring data reliability and quality.

Highest-signal resume keywords

Data EngineeringETL ProcessesMachine LearningCloud Systems (GCP, Azure, AWS)Business Intelligence

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

Data StructuresData PipelinesDatabase DesignPredictive ModelingPrescriptive ModelingAnalytics Program DeploymentData TransformationStatistical MethodsGenAI CapabilitiesReporting

Soft Skills

Problem SolvingDecision MakingCollaborationTeamworkGrowth Mindset

Certifications & Qualifications

Bachelor's Degree in Computer ScienceMaster's Degree in Computer Science or Engineering

Tech Stack

Tools & technologies

AWSAzureCloudETLGoogle Cloud Platform

About the role

Key responsibilities & impact

Design and develop complex, large-scale data structures and pipelines
Develop frameworks, standards, and reference material for architecture and associated products
Write complex ETL processes, design database systems, and develop tools for real-time and offline analytic processing
Deploy analytics programs, machine learning, and statistical methods for predictive and prescriptive modeling
Build infrastructure for extracting, transforming, and loading data from varied sources
Generate reports and updates for leadership on Data Engineering operations
Recommend improvements to data reliability, efficiency, and quality
Collaborate with executive, product, and design stakeholders on data-related technical issues
Act as a subject matter expert on data engineering projects
Coach junior-level team members and share knowledge across the company
Collaborate with data science to build analytics tools and integrate algorithms and models into highly available production systems

Requirements

What you’ll need

7-10 years work experience
Bachelor's degree or equivalent work experience in Computer Science, Engineering, Machine Learning, or related discipline
Adept at problem solving and decision making skills
Adept at collaboration and teamwork
Adept at growth mindset skills
Adept at execution and delivery skills
Adept at business intelligence
Experience working with cloud systems like GCP, Azure and AWS
Experience building solutions that utilize GenAI capabilities
Master's degree in Computer Science or other relevant Engineering degree

Benefits

Comp & perks

CVS Health bonus, commission or short-term incentive program
Award target in the company’s equity award program
Medical coverage
Dental coverage
Vision coverage
Paid time off
Retirement savings options
Wellness programs
Other resources supporting physical, emotional, and financial well-being