Senior Data Engineer – PostgreSQL, MongoDB

CVS Health

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

Posted 10/12/2026full-timeRemote • United StatesSenior💰 $92,700 - $203,940 per yearWebsite

Core Competencies

Role fit

Core Competencies

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

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. Proven ability to collaborate with cross-functional teams and mentor junior engineers in cloud-native data engineering practices.

Highest-signal resume keywords

MongoDB AtlasPostgreSQLChange Data Capture (CDC)Python DevelopmentGCP Services

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 EngineeringData Platform DevelopmentETL/ELT PipelinesData ModelingIndex DesignPerformance OptimizationQuery TuningSchema DesignOperational Data StoresTransactional Caches

Soft Skills

CollaborationMentoringTroubleshootingIncident ResponseContinuous Improvement

Tools & Technologies

GCPCloud SQLDataproc ServerlessCloud Composer (Airflow)MonitoringIAMKafkaPub/SubTerraformGKE/Kubernetes

Certifications & Qualifications

AWS CertificationGCP Cloud Certification

Industry Keywords

Healthcare IndustryEvent-Driven ArchitectureAPIsMicroservicesAgileSAFe

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 for APIs, applications, and digital experiences
Build and maintain CDC pipelines replicating data from UniVerse into PostgreSQL
Develop and support transformation pipelines converting operational relational data into optimized MongoDB document structures
Implement MongoDB document models, indexing strategies, partitioning approaches, and query patterns
Partner with API and application development teams to deliver cache-ready domain models
Monitor and improve data freshness, latency, availability, and reliability
Optimize PostgreSQL and MongoDB performance through schema design, indexing, query tuning, and capacity planning
Troubleshoot production issues and participate in incident response and root cause analysis
Maintain runbooks, monitoring dashboards, alerting strategies, and support procedures
Collaborate with architects, senior engineers, and cross-functional teams
Contribute to engineering best practices, code reviews, documentation, and continuous improvement
Mentor junior engineers and share knowledge on 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 and 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
Bachelor’s degree, or equivalent experience (HS diploma + 4 years relevant experience)
Preferred: Kafka, Pub/Sub, event-driven architecture, APIs and microservices, Terraform or Infrastructure as Code, GKE/Kubernetes, highly available and low-latency data platforms, Agile/SAFe, healthcare industry, AWS, and AWS/GCP cloud certifications
EST coast hours preferred

Benefits

Comp & perks

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