Senior Observability Data Engineer

CVS Health Corporation; Pennsylvania; Hybrid; USD 133,000 - 222,000; Full time

Benefits offered by this job

Medical, dental, vision coverage

Paid time off

Retirement savings options

Wellness programs

Job summary

CVS Health is seeking a Senior Data Engineer, Observability Engineering to join the Enterprise Observability Platform team. You will design, build, and operate scalable Databricks-based data pipelines and lakehouse solutions powering observability, infrastructure, and security analytics across CVS Health.

The role combines hands-on execution with ownership of engineering excellence, reliability, and data governance, shaping performance improvements and platform standards enterprise-wide.

Qualifications

• 5+ years building enterprise data engineering solutions with Python, Spark, SQL.
• 5+ years designing and operating large-scale data pipelines across multiple data sources.
• 4+ years with Databricks in production, Delta Lake, Unity Catalog, performance optimization.
• 3+ years developing high-volume batch and streaming data solutions, data quality controls.
• 2+ years collaborating with engineering teams, cloud security and access management.

Responsibilities

• Design, build, deploy, and support scalable Databricks-based data pipelines and lakehouse solutions.
• Develop and optimize PySpark workloads and bronze/silver/gold architectures.
• Onboard data sources, establish governance standards, improve metadata management, deliver trusted data products.
• Contribute to CI/CD practices, monitoring strategies, and platform optimization.
• Promote best practices for Databricks, Delta Lake, Unity Catalog, and security controls.

Skills

Python

Spark

PySpark

SQL

Data pipelines

Education

Bachelor's degree

Tools

Databricks

Delta Lake

Unity Catalog

GitHub Actions

Azure DevOps

Job description

CVS Health is seeking a Senior Data Engineer, Observability Engineering to join the Enterprise Observability Platform team. You will design, build, and operate scalable Databricks-based data pipelines and lakehouse solutions powering observability, infrastructure, and security analytics across CVS Health.

The role combines hands-on execution with ownership of engineering excellence, reliability, and data governance, shaping performance improvements and platform standards enterprise-wide.