Senior Data Engineer

CVS Health

. Design, build, and maintain large-scale data infrastructure and data processing systems .

Posted 9/16/2026full-timeRemote • Florida • United StatesSenior💰 $83,430 - $203,940 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and maintaining large-scale data infrastructure, implementing data security measures, and optimizing data processing systems. Proficient in collaborating with cross-functional teams to deliver data-driven solutions and ensure data quality and compliance.

Highest-signal resume keywords

Python DevelopmentSQL-Based Relational DatabasesData Pipeline OptimizationData Security ImplementationCloud Platforms (GCP)

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data Infrastructure DesignData Processing SystemsData WarehousingData LakesT-SQLETL ToolsData Quality ChecksData GovernanceDevSecOps PracticesAI-Assisted Development Tools

Soft Skills

Problem SolvingDecision MakingCollaborationGrowth MindsetExecution and Delivery

Tools & Technologies

DB2IBM DataStageSQL ServerSSISWindowsLinuxGoogle Cloud

Industry Keywords

Data-Driven ApplicationsAnalyticsBusiness IntelligenceData IntegrationRegulatory Compliance

Tech Stack

Tools & technologies

CloudETLGoogle Cloud PlatformLinuxPythonSQLSSIS

About the role

Key responsibilities & impact

Design, build, and maintain large-scale data infrastructure and data processing systems
Implement robust and scalable solutions supporting data-driven applications, analytics, and business intelligence
Integrate data from databases, APIs, and streaming platforms
Optimize data processing and query performance through data pipeline, database configuration, and data partitioning improvements
Establish data quality checks and validations and resolve data issues
Implement data security measures including encryption, access controls, and regulatory compliance
Collaborate with data scientists, analysts, software engineers, and business stakeholders
Design and develop data warehouses, data lakes, and data pipelines
Establish auditing and monitoring mechanisms for data access and governance
Monitor and alert on bottlenecks, latency, and failures; troubleshoot problems, investigate root causes, and implement remediation
Explore frameworks, platforms, and cloud services that improve data processing capabilities
Leverage DevSecOps practices

Requirements

What you’ll need

5+ years of work experience in the IT industry
2+ years of experience with Python development
3+ years of experience with SQL-based relational databases and T-SQL
Participation in a 24x7 on-call rotation approximately every 6 weeks
Must be willing to work EST time zone hours
Bachelor’s degree, or equivalent experience (high school diploma plus 4 years of relevant experience)
DB2 experience with IBM DataStage preferred
SQL Server experience with SSIS or other ETL tools preferred
Experience with Windows and Linux environments preferred
Experience using AI-assisted development tools preferred
Experience with cloud platforms, preferably Google Cloud (GCP)
Problem solving, decision making, and collaborative team environment skills preferred
Growth mindset skills preferred
Execution and delivery skills 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 in addition to base pay