Senior Data Engineer

CVS Health

. Design, develop, and maintain GCP data pipelines using BigQuery, Cloud Spanner, and Dataflow .

Posted 11/6/2026full-timeRemote • United StatesSenior💰 $83,430 - $222,480 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and maintaining GCP data pipelines, with a strong focus on BigQuery, Cloud Spanner, and Dataflow. Proficient in ETL/ELT workflows, performance tuning, and data modeling techniques to ensure efficient data management and processing.

Highest-signal resume keywords

GCP Data Pipeline DevelopmentBigQuery OptimizationETL/ELT Workflow SupportUnix/Linux Shell ScriptingInformatica ETL Experience

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data EngineeringDatabase DevelopmentSQL DevelopmentPerformance TuningDimensional ModelingDataflow ImplementationCompute Engine ManagementControl-M SchedulingCloud Storage ManagementAI/ML Tools Application

Soft Skills

CollaborationProblem-SolvingDocumentation

Tools & Technologies

BigQueryCloud SpannerDataflowInformaticaControl-MCloud ComposerPub/SubOraclePostgreSQLSQL Server

Industry Keywords

ETL Design PatternsAgile ProcessesData Mart DesignBatch Job MonitoringResource Optimization

Tech Stack

Tools & technologies

BigQueryCloudETLGoogle Cloud PlatformInformaticaLinuxOraclePostgresShell ScriptingSnowflakeSQLUnix

About the role

Key responsibilities & impact

Design, develop, and maintain GCP data pipelines using BigQuery, Cloud Spanner, and Dataflow
Build and support ETL/ELT workflows across Oracle, Spanner, SQL Server, PostgreSQL, and other relational databases
Develop and optimize BigQuery datasets, tables, partitioning, and clustering strategies
Implement and tune Dataflow pipelines for transformation, enrichment, and data movement
Monitor and manage Compute Engine VMs, including CPU utilization, resource allocation, and performance tuning
Support Cloud Storage, Cloud Composer, Pub/Sub, and IAM in end-to-end data workflows
Apply dimensional modeling, star/snowflake schemas, slowly changing dimensions, and data mart design
Develop and support Informatica ETL workflows integrating GCP and on-premise databases
Work in Unix/Linux environments, including shell scripting, permissions management, and log/file handling
Schedule, monitor, and troubleshoot batch jobs with Control-M
Participate in Agile/JIRA processes, including sprint planning, ticket tracking, status updates, and defect management
Collaborate with senior engineers and architects on performance tuning, query optimization, and database design
Troubleshoot pipeline failures, performance bottlenecks, and data quality issues
Document technical designs, operational runbooks, and support procedures
Apply AI/ML and GenAI tools to improve productivity and streamline engineering workflows

Requirements

What you’ll need

5+ years of experience in data engineering, software engineering, or database development
3+ years of hands-on experience with Google Cloud Platform products, especially BigQuery, Cloud Spanner, and Dataflow
Strong experience with Oracle, Spanner, SQL, and PostgreSQL
Working knowledge of Compute Engine/VMs, Cloud Storage, Cloud Composer, Pub/Sub, and other core GCP services
Experience with performance tuning, CPU utilization analysis, and resource optimization on GCP compute resources
Understanding of dimensional modeling, fact/dimension tables, and ETL design patterns
Experience with Informatica
Strong Unix/Linux experience, shell scripting, and file system handling
Experience with Control-M
Strong SQL development skills and ability to write and optimize complex queries
Bachelor’s degree or equivalent experience (High School Diploma and 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