below marketmost similar roles pay hereabove market
This role pays less than
55%
of similar roles. Most pay
$143,975–$235,812
— the blue band above.
At the midpoint, this role pays about
$195k
versus about
$190k
for comparable roles.
Based on 240 similar postings.
Employer
About CVS Health
CVS Health is a leading American healthcare company operating retail pharmacies, pharmacy benefit management services, and a health insurance segment through Aetna, one of the nation''s largest health insurers. Industry: Healthcare & Pharmacy
CVS Health currently has
119 open roles
on FindRole.
Listed pay typically runs
$106,605–$260,590
across 115 roles with salary data.
The Staff Data Engineer (Azure Databricks Platform) leads the development and maintenance of the Databricks platform to support healthcare delivery initiatives. This role involves overseeing operational health, defining the strategic roadmap, and managing security and governance for the Azure Databricks environment. Key responsibilities include implementing cost optimization strategies, managing Unity Catalog for fine-grained access control, and providing developer enablement through mentoring and creating reusable patterns. The successful candidate will utilize Terraform for Infrastructure as Code, GitHub for CI/CD pipelines, and Python, Apache Spark/PySpark, and SQL for automation and data processing. The position requires deep expertise in Azure Data Lake Storage, Azure Active Directory, and distributed systems to solve complex platform-level problems while ensuring the reliability and performance of large-scale data systems within a healthcare context.
What does a Data Engineer earn?
Median $159000 from 203 postings across 58 companies.
Oversee the operational health of the platform by maintaining monitoring, logging, and alerting solutions.
Lead incident response and perform root cause analysis for platform-wide problems.
Define the strategic roadmap for the Azure Databricks environment, including new features and best practices.
Manage Unity Catalog to enforce data security, fine-grained access control, and data lineage.
Implement strategies for cost management and performance tuning to optimize Databricks clusters and workloads.
Maintain automated solutions for provisioning and scaling resources using Terraform and GitHub CI/CD pipelines.
Mentor data engineers and develop reusable patterns, libraries, and technical training.
Direct and oversee the daily efforts of two platform engineers.
What we're looking for
8+ years of experience in a hands-on engineering role focusing on cloud data platforms, distributed systems, and data engineering.
Deep, hands-on experience with the Azure Databricks platform, including administration, cluster management, Delta Lake, and Unity Catalog.
Expert-level knowledge of the Azure ecosystem, including Azure Data Lake Storage, Azure Active Directory, and networking components.
Strong proficiency in Terraform, Python, Apache Spark/PySpark, SQL, and Shell scripting.
Proven experience with Infrastructure as Code and building automated CI/CD pipelines for platform and data application deployments.
Strong understanding of distributed computing principles and the architecture of large-scale data systems.
Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
Relevant certifications such as Microsoft Certified: Azure Solutions Architect Expert, Databricks Certified Data Engineer Professional, or Databricks Certified Platform Administrator (preferred).
Databricks
Azure
Terraform
SQL
Python
Unity Catalog
Infrastructure as Code
CI/CD
Snowflake
Azure Data Lake
Data Engineering
Data Governance
Data Modeling
Cloud Infrastructure
Data Ingestion
Platform Administration