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We’re building a world of health around every individual — shaping a more connected, convenient and compassionate health experience. At CVS Health®, you’ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger – helping to simplify health care one person, one family and one community at a time. CVS Health is seeking a highly skilled and driven individual contributor to join our Enterprise Observability and Security Engineering team. This role focuses on building, scaling, and operationalizing the enterprise observability lakehouse that powers threat detection, incident response, and platform visibility across hybrid cloud environments.
Job Responsibility:
Build, scale, and maintain enterprise-grade log, metric, and trace pipelines using Databricks, cloud data lakes, and distributed data processing engines
Implement ingestion and transformation workflows using Cribl, Vector, GitHub Actions, Jenkins, or similar technologies
Design and expand an Observability Lakehouse aligned to OpenTelemetry (OTEL) data models and standards
Normalize and model high-volume security and observability data for detection, forensics, and operational intelligence use cases
Develop automated ETL/ELT frameworks, Delta Lake architectures, and data quality checks for unstructured and semi-structured telemetry
Collaborate closely with Security Engineering, SRE, Cloud, and SOC teams to enhance enterprise visibility and improve detection fidelity
Build CI/CD workflows and reusable IaC-driven patterns for pipeline deployment and automation
Troubleshoot performance bottlenecks and drive continuous improvements in reliability, latency, and cost efficiency
Contribute to team knowledge sharing and engineering standards focused on observability, security, and reliability
Requirements:
5+ years of experience building or supporting log, metric, or trace pipelines aligned to OTEL or similar telemetry standards in a Data, Security Data, or Observability Engineering level role
5+ years of hands-on experience with Databricks, Spark, or large-scale distributed data processing systems
5+ years of experience working with cloud services across AWS, Azure, or GCP (storage, eventing, compute, or equivalent)
5+ years of experience with SQL and Python in production data environments
Bachelor's degree from an accredited university or equivalent work experience (HS diploma + 4 years relevant experience)
Nice to have:
Experience with Cribl, Vector, Kafka, or similar high-volume ingestion technologies
Background supporting SIEM/SOAR, detection engineering, or threat analytics platforms
Familiarity with Delta Lake, Unity Catalog, metadata management, and lineage tooling
Understanding of enterprise observability platforms (Splunk, Datadog, Elastic, etc.)
Knowledge of security governance, auditing, access controls, and sensitive-data handling
Experience with IaC tooling (Terraform, ARM/Bicep, CloudFormation)
Strong communication skills for both deeply technical and executive audiences
Passion for observability, security, continuous learning, and platform-level engineering
What we offer:
Affordable medical plan options
401(k) plan (including matching company contributions)
Employee stock purchase plan
No-cost programs for all colleagues including wellness screenings, tobacco cessation and weight management programs, confidential counseling and financial coaching