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Staff Data Engineer, Observability Data Lake

Job not on LinkedIn

🔥 42 minutes ago

🤠 Texas – Remote

infoinfo

💵 $118.5k - $236.9k / year

⏰ Full Time

🔴 Lead

🚰 Data Engineer

Where this job comes from

Posted on CVS Health Careers's careers page, not through a job board

First seen by Remote Rocketship 42 minutes ago

Logo of CVS Health Careers

CVS Health Careers

10,000+ employees

🏥 Healthcare

🛒 Retail

📦 Logistics

Healthcare • Retail • Logistics

CVS Health Careers is the recruitment and employer branding arm of CVS Health, showcasing job opportunities across the company's broad operations—pharmacy retail stores, pharmacy services, health care clinics, distribution warehouses, corporate functions and transportation. The careers site emphasizes purpose-driven work focused on improving access, affordability and quality of health care, and highlights a large workforce (300,000+ employees), inclusive culture, benefits, and hiring resources for applicants.

📋 Description

• Design, build, deploy, and support scalable Databricks-based data pipelines and lakehouse solutions • Ingest, transform, and curate observability, infrastructure, and security data from multiple enterprise sources • Develop and optimize PySpark workloads and Structured Streaming jobs • Implement bronze/silver/gold data architectures while ensuring performance, reliability, scalability, data quality, and operational excellence • Partner with Security, Infrastructure, Observability, and Platform Engineering teams to onboard new data sources • Establish governance standards and improve metadata management • Deliver trusted enterprise data products • Contribute to engineering standards, code reviews, CI/CD practices, monitoring strategies, and platform optimization • Identify and address technical debt, process gaps, and operational risks • Promote best practices for Databricks, Delta Lake, Unity Catalog, data governance, security controls, access management, and cost-efficient data platform operations

🎯 Requirements

• 7+ years of experience building and supporting enterprise data engineering solutions using Python, Spark, PySpark, SQL, and distributed data processing technologies • 6+ years of experience designing, developing, and operating large-scale data pipelines, data ingestion frameworks, and bronze/silver/gold lakehouse architectures across multiple data sources • 5+ years of experience working with Databricks in production environments, including Delta Lake, Unity Catalog, Databricks Asset Bundles, serverless SQL, performance optimization, and platform operations • 4+ years of experience developing high-volume batch and streaming data solutions, implementing data quality controls, troubleshooting pipeline issues, and improving reliability, scalability, and operational efficiency • 2+ years of experience collaborating with engineering teams, participating in code reviews, contributing to technical standards, applying cloud security and access management principles, and communicating technical solutions to both technical and non-technical stakeholders • Bachelor's degree from an accredited university or equivalent work experience (High School Diploma/GED plus 4 years of relevant experience) • Experience building Structured Streaming and near real-time ingestion solutions within Databricks or similar cloud-native data platforms • Experience implementing Databricks governance capabilities, including Unity Catalog, storage credentials, external locations, catalog management, and access control frameworks • Familiarity with OCSF or similar observability, cybersecurity, or security event normalization frameworks • Experience implementing CI/CD pipelines using Databricks Asset Bundles, GitHub Actions, Azure DevOps, or equivalent automation frameworks • Prior experience supporting observability, infrastructure, cybersecurity, logging, telemetry, or operational analytics platforms in large-scale enterprise environments

🏖️ Benefits

• CVS Health bonus, commission or short-term incentive program • Equity award program • Medical coverage • Dental coverage • Vision coverage • Paid time off • Retirement savings options • Wellness programs • Other resources supporting physical, emotional, and financial well-being

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