McKesson
Posted 17 days agoVerified live 7h ago
Databricks Platform Engineer
Brief overview
Remote
UndergradOr in progress
4+ yrsMinimum
324 H-1B approvalsDept. of Labor
34 green cardsCertified filings
Databricks AdministrationTerraformInfrastructure as CodeAzure Cloud InfrastructureData IngestionSQLData ModelingData GovernancePythonCI/CD
About the company
McKessonsarahcannon.com
Oncology research organization focused on community-based clinical trials.
Visa sponsorship history
4 years sponsoring, last filed FY2026
Data powered by U.S. Department of Labor. This does not guarantee sponsorship for this specific role.324H-1B approved
97%approval rate
36new H-1B hires
34PERM certified
$155,000median wage / yr
H-1B Petition ApprovalsVisas USCIS actually granted: the strongest sign the company sponsors.
202383
2024116
2025109
202616
LCA Certified ApplicationsAn early filing step, not a visa approval: it signals intent, not confirmed sponsorship.
202318
202425
202525
202623
Green Card (PERM) FilingsCertified green card filings: a long-term commitment to international hires.
202310
20248
202512
20264
Top sponsored roles
Sr. Software EngineerSoftware EngineerSr. IT ArchitectSr. Associate Software Developer/EngineerLead IT Architect
Sponsored employees from
IndiaRussiaBrazilNepalMongolia
Job description
Summary
McKesson is an impact-driven healthcare company that delivers insights, products, and services to make quality care more accessible and affordable. The Databricks Platform Engineer will build, maintain, and optimize a cloud-based data platform supporting analytics, reporting, and data product development, with responsibilities spanning platform operations, cloud infrastructure automation, data ingestion, governance, security, and reliability.
Responsibilities
- Administer and maintain Databricks environments supporting enterprise analytics and data engineering workloads
- Manage platform configurations, cluster performance, capacity planning, and operational stability
- Monitor platform health and troubleshoot performance, reliability, and operational issues
- Support lifecycle management of platform resources across development, testing, and production environments
- Develop and maintain Infrastructure as Code solutions using Terraform
- Support cloud-based data infrastructure within Azure environments
- Implement automation to improve platform consistency, reliability, and operational efficiency
- Partner with infrastructure and security teams to ensure adherence to enterprise standards
- Build and support data ingestion frameworks and pipelines that enable reliable movement of data across platforms
- Collaborate with Data Engineers to improve platform capabilities and optimize data processing workloads
- Support structured and unstructured data workloads within cloud data environments
- Assist in identifying and resolving data performance bottlenecks
- Support data governance initiatives using Databricks Unity Catalog
- Implement and maintain data access controls, permissions, and governance standards
- Ensure compliance with organizational security and data management requirements
- Contribute to metadata, lineage, and data quality practices
- Evaluate new tools, technologies, and platform capabilities
- Recommend improvements that enhance scalability, reliability, and developer productivity
- Document platform standards, operational procedures, and support processes
- Participate in incident response, root cause analysis, and operational reviews
Skills
- Bachelor's degree in Computer Science, Information Systems, Engineering, or related field, or equivalent experience
- 4+ years of experience in Data Engineering, Data Platform Engineering, Cloud Engineering, or related disciplines
- Experience administering Databricks environments
- Experience with Terraform and Infrastructure as Code practices
- Experience supporting Azure cloud services and infrastructure
- Experience developing and maintaining data ingestion solutions
- Strong SQL and troubleshooting skills
- Experience supporting production environments and operational workloads
- Understanding of data modeling, data governance, and modern data architecture concepts
- Experience with Unity Catalog and Databricks governance capabilities
- Experience supporting Azure Data Lake, Snowflake, or related cloud data technologies
- Experience with Python and data engineering automation
- Experience working in large-scale cloud analytics environments
- Experience supporting CI/CD and deployment automation practices
- Healthcare or regulated industry experience
Qualifications
Must Haves
- Bachelor's degree in Computer Science, Information Systems, Engineering, or related field, or equivalent experience
- 4+ years of experience in Data Engineering, Data Platform Engineering, Cloud Engineering, or related disciplines
- Experience administering Databricks environments
- Experience with Terraform and Infrastructure as Code practices
- Experience supporting Azure cloud services and infrastructure
- Experience developing and maintaining data ingestion solutions
- Strong SQL and troubleshooting skills
- Experience supporting production environments and operational workloads
- Understanding of data modeling, data governance, and modern data architecture concepts
Nice to Haves
- Experience with Unity Catalog and Databricks governance capabilities
- Experience supporting Azure Data Lake, Snowflake, or related cloud data technologies
- Experience with Python and data engineering automation
- Experience working in large-scale cloud analytics environments
- Experience supporting CI/CD and deployment automation practices
- Healthcare or regulated industry experience
Benefits
- Hybrid work arrangement
- An annual bonus may be offered
- Long-term incentive opportunities may be offered
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