Senior Data Engineer

CVS Health

. Design, develop, and support a near real-time transactional cache platform supporting APIs, applications, and digital experiences .

Posted 9/28/2026full-timeRemote • United StatesSenior💰 $83,430 - $203,940 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and supporting enterprise-scale data platforms, with a strong focus on MongoDB and PostgreSQL performance optimization, data modeling, and CDC pipelines. Proficient in developing operational data stores and transactional caches that support APIs and microservices.

Highest-signal resume keywords

MongoDB Atlas ExperiencePostgreSQL Performance OptimizationChange Data Capture (CDC)Python Development SkillsGCP Services Experience

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data EngineeringData Platform DevelopmentETL/ELT Pipeline DevelopmentData ModelingIndex DesignSchema DesignQuery TuningOperational Data Store DesignTransactional Cache ArchitectureEvent-Driven Architecture

Soft Skills

Problem-SolvingCommunicationCollaboration

Tools & Technologies

GCPCloud SQLDataproc ServerlessCloud ComposerKafkaPub/SubTerraformGKEKubernetesLinux/Unix

Certifications & Qualifications

Cloud Certifications (AWS and/or GCP)

Industry Keywords

Healthcare IndustryAgileSAFe

Tech Stack

Tools & technologies

AirflowAWSCloudDistributed SystemsETLGoogle Cloud PlatformKafkaKubernetesLinuxMicroservicesMongoDBPostgresPythonSQLTerraformUnix

About the role

Key responsibilities & impact

Design, develop, and support a near real-time transactional cache platform supporting APIs, applications, and digital experiences
Build and maintain CDC pipelines replicating data from UniVerse into PostgreSQL using vendor-supported replication technologies
Develop and support transformation pipelines converting operational relational data into optimized MongoDB document structures
Implement and support MongoDB document models, indexing strategies, partitioning approaches, and query patterns for high-throughput, low-latency API consumption
Partner with API and application development teams to define and deliver cache-ready domain models
Monitor and improve data freshness, latency, availability, and reliability of transactional cache workloads
Optimize PostgreSQL and MongoDB performance through schema design, indexing, query tuning, and capacity planning
Troubleshoot production issues and participate in operational support, incident response, and root cause analysis
Develop and maintain operational runbooks, monitoring dashboards, alerting strategies, and support procedures
Collaborate with architects, senior engineers, and cross-functional teams on scalable data platform solutions
Contribute to engineering best practices, code reviews, documentation, and continuous improvement
Mentor junior engineers and share knowledge related to CDC, data pipelines, and cloud-native data engineering

Requirements

What you’ll need

5+ years of data engineering, software engineering, or data platform development experience
3+ years designing, developing, and supporting enterprise-scale data platforms and distributed systems
Strong MongoDB Atlas/PostgreSQL experience, including data modeling, aggregation frameworks, index design, and performance optimization
Experience with Change Data Capture (CDC), replication technologies, and near real-time data movement patterns
Experience designing and supporting operational data stores, transactional caches, or API-serving data platforms
Strong Python and SQL development skills
Experience with GCP services including Cloud SQL, Dataproc Serverless, Cloud Composer (Airflow), Monitoring, IAM, and cloud networking fundamentals
Experience developing and supporting production ETL/ELT pipelines
Experience working in Linux/Unix environments
Ability to troubleshoot distributed data processing and data synchronization issues
Strong problem-solving, communication, and collaboration skills
Experience implementing transactional cache or operational data platform architectures
Kafka, Pub/Sub, or event-driven architecture experience
Experience building data platforms that support APIs and microservices
Terraform or Infrastructure as Code experience
Experience with GKE/Kubernetes
Experience designing highly available and low-latency data platforms
Agile/SAFe experience in large enterprises
Healthcare industry experience
AWS experience
Cloud certifications (AWS and/or GCP) preferred
EST coast hours preferred
Bachelor’s degree, or equivalent experience (HS diploma + 4 years relevant experience)

Benefits

Comp & perks

CVS Health bonus, commission or short-term incentive program in addition to base pay
Medical coverage
Dental coverage
Vision coverage
Paid time off
Retirement savings options
Wellness programs
Other resources supporting physical, emotional, and financial well-being, based on eligibility