below marketmost similar roles pay hereabove market
This role pays less than
56%
of similar roles. Most pay
$128,005–$214,500
— the blue band above.
At the midpoint, this role pays about
$167k
versus about
$171k
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
575 open roles
on FindRole.
Listed pay typically runs
$147,900–$221,900
across 550 roles with salary data.
JOB TITLE: Data Engineer, Staff
The Data Engineer, Staff joins the Information Technology Group to design, build, and operate a modern, scalable data platform using Databricks Lakehouse as the core foundation. This role involves developing reusable data frameworks, shared platform components, and standardized pipelines to support analytics, reporting, and AI/ML use cases. You will build scalable batch and streaming pipelines, implement end-to-end workflows from raw ingestion to curated datasets, and leverage AI-based techniques for intelligent schema inference and automated data quality checks. Key responsibilities include defining SLIs/SLOs, managing data governance, and optimizing costs. Required technical skills include Python, SQL, NoSQL databases, and experience with AWS, Delta Lake, and Unity Catalog. You will solve complex problems regarding platform reliability, security, and developer productivity in a regulated environment.
What does a Data Engineer earn in California?
Median $187700 from 41 postings across 21 companies.
Design, build, and maintain scalable batch and streaming data pipelines.
Develop reusable data engineering frameworks, libraries, and templates for ingestion and transformation.
Implement AI-based techniques for automated schema inference, data quality checks, and self-healing mechanisms.
Define and monitor SLIs/SLOs for data pipelines and platform availability.
Implement security, compliance, and data governance controls across shared data assets.
Drive performance tuning and cost optimization for resource utilization and workloads.
Contribute to data architecture decisions, platform standards, and design guidelines.
What we're looking for
Must have 5+ years of IT-related work experience with a Bachelor's degree in Computer Engineering, Computer Science, Information Systems, or a related field.
Must have 7+ years of IT-related work experience without a Bachelor's degree.
Must have 3+ years of work experience with programming languages such as Java or Python.
Must have 3+ years of work experience with SQL or NoSQL Databases.
Must have 3+ years of work experience with Data Structures and algorithms.
Must have 8+ years of experience building and operating data platforms or distributed data systems.
Must have strong hands-on experience with AWS, including IAM, networking, and multi-account setups.
Must have proven experience with Databricks Lakehouse, including Delta Lake and Unity Catalog.