Data Engineer, Senior Staff
Qualcomm
At a glance
AI generatedQualcomm is hiring a Staff Data Engineer to join its Information Technology Group, where you will design and build a scalable data platform using Databricks Lakehouse as the core foundation. Your daily tasks include developing reusable data frameworks, shared components, and standardized pipelines that support analytics, reporting, and AI/ML use cases. You will focus on reliability, governance, developer productivity, and intelligent automation while contributing to architectural decisions and setting data standards. The role requires hands-on experience with Java or Python programming, SQL or NoSQL databases, and a deep understanding of data structures and algorithms. Ideal candidates have extensive background in building and operating data platforms, proficiency in AWS and Databricks Lakehouse technologies, and strong communication skills for driving adoption across teams.
Skills
What you'll do
What we're looking for
Market check
How this pay compares to similar roles
This role pays less than 53% of similar roles. Most pay $156,900–$214,500 — the shaded band above. At the midpoint, this role pays about $165k versus about $186k for comparable roles.
Based on 240 similar postings.
Employer
Qualcomm is a leading American semiconductor and telecommunications company based in San Diego, CA.
Qualcomm currently has 595 open roles on FindRole.
Listed pay typically runs $148,300–$222,500 across 540 roles with salary data.
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