Data Engineer, Senior Staff
Qualcomm
At a glance
AI generatedJoin Qualcomm’s Information Technology Group as a Data Platform Engineer and help design, build, and operate a modern data platform centered around Databricks Lakehouse. This senior-level role involves hands-on work in system design, innovation, and execution, where you will influence architectural direction, mentor engineers, and collaborate closely with data scientists, analysts, and application teams. Key responsibilities include designing scalable distributed systems, managing Databricks workspace architecture, implementing infrastructure as code using Terraform/Terramate, building CI/CD pipelines, optimizing Amazon EKS clusters, defining SLIs/SLOs for reliability, driving innovation, and ensuring robust security and governance. The ideal candidate has extensive experience with AWS, Databricks Lakehouse Platform, and hands-on expertise in Python, Bash scripting, and cloud infrastructure management.
Skills
What you'll do
What we're looking for
Market check
This $158,400–$237,600 range sits above 59% of similar postings on FindRole.
Peer median band
$138,700–$220,050
Median floor and ceiling across peers.
Typical midpoint (25–75%)
$142,050–$214,500
Middle half of comparable postings.
Based on 240 comparable postings.
* 240 is the maximum number of comparable postings sampled.
Employer
Qualcomm is a leading American semiconductor and telecommunications company based in San Diego, CA.
Qualcomm currently has 565 open roles on FindRole.
Listed pay typically runs $148,300–$226,100 across 532 roles with salary data.
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