This role pays less than
71%
of similar roles. Most pay
$151,750–$222,000
— the shaded band above.
At the midpoint, this role pays about
$160k
versus about
$187k
for comparable roles.
Based on 240 similar postings.
Employer
About Qualcomm
Qualcomm is a leading American semiconductor and telecommunications company based in San Diego, CA.
Qualcomm currently has
623 open roles
on FindRole.
Listed pay typically runs
$148,300–$222,500
across 603 roles with salary data.
Staff Data Engineer / Full‑Stack Data Developer (Databricks / Python) is a senior individual contributor role focused on designing, building, and operating data pipelines and Databricks-native applications on a modern cloud Lakehouse platform. The successful candidate will develop scalable ETL/ELT pipelines, manage curated data layers using Medallion architecture, and build interactive dashboards and data APIs to support enterprise analytics, AI, and machine learning initiatives. Day-to-day responsibilities include optimizing Apache Spark jobs for performance and cost efficiency, ensuring data quality through robust validation, and providing production support for critical datasets. The role requires deep expertise in Python, PySpark, SQL, and Databricks development. Candidates must possess strong skills in data structures and algorithms to solve complex problems involving high-volume data, schema evolution, and automated workflows while collaborating across analytics and application teams to deliver end-to-end data solutions.