Data Engineer

CVS Health

Data Engineer developing and optimizing data pipelines for CVS Health's extensive healthcare data. Collaborating with cross-functional teams to deliver data-driven solutions and insights.

Posted 7/13/2026full-timeNew York City • Connecticut, Massachusetts, New York • 🇺🇸 United StatesJunior💰 $79,310 - $173,040 per yearWebsite

Core Competencies

Role fit

Core Competencies

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

Proficient in building and optimizing analytical data models in BigQuery, with extensive experience in ETL/ELT processes and high-volume data pipeline development. Strong understanding of data governance, cloud architecture, and deployment in containerized environments.

Highest-signal resume keywords

BigQuery Data ModelingETL/ELT ProcessesCloud Platform (GCP)Python ProgrammingData Pipeline Development

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

SQLNoSQLData WarehousingQuery OptimizationData StructuresTransformationMetadata ManagementWorkload ManagementReal-Time TechnologyStreaming Technology

Tools & Technologies

DataflowCloud FunctionsCloud RunCloud BuildGitHub ActionsJenkinsCloud MonitoringCloud LoggingError ReportingKubernetes

Industry Keywords

Data GovernanceAccess ControlsIAM Best PracticesAnalytic ToolsCloud ArchitectureContainerized EnvironmentKafkaSpark StreamingData EngineeringMachine Learning

Tech Stack

Tools & technologies

BigQueryCloudETLGoogle Cloud PlatformJavaJenkinsKafkaKubernetesNoSQLPythonSparkSQL

About the role

Key responsibilities & impact

Build and optimize analytical data models in BigQuery.
Implement partitioning, clustering, and materialized views for performance and cost efficiency.
Ensure compliance with data governance, access controls, and IAM best practices.
Develop integrations with external systems (APIs, flat files etc.) using GCP-native or hybrid approaches.
Utilize tools like Dataflow or custom Python/Java services on Cloud Functions or Cloud Run to handle transformations and ingestion logic.
Build automated CI/CD pipeline using Cloud Build, GitHub Actions, or Jenkins for deploying data pipeline code and workflows.
Set up observability using Cloud Monitoring, Cloud Logging, and Error Reporting to ensure pipeline reliability.

Requirements

What you’ll need

1+ years of experience with SQL, NoSQL
1+ years of experience with Python (or a comparable scripting language)
1+ years of experience with Data warehouses (such as data modeling and technical architectures) and infrastructure components
1+ years of experience with ETL/ELT, and building high-volume data pipelines
1+ years of experience with reporting/analytic tools
1+ years of experience with query optimization, data structures, transformation, metadata, dependency, and workload management
1+ years of experience with Big data and cloud architecture
1+ years of hands-on experience building modern data pipelines within a major cloud platform (GCP)
1+ years of experience with deployment/scaling of apps on containerized environment (i.e. Kubernetes, AKS)
1+ years of experience with real-time and streaming technology (i.e. Kafka, Spark Streaming)
Bachelor’s Degree or equivalent work experience in Computer Science, Information Systems, Data Engineering, Data Analytics, Machine Learning, or related field required

Benefits

Comp & perks

medical, dental, and vision coverage
paid time off
retirement savings options
wellness programs
other resources, based on eligibility