Senior Data Platform Engineer — Databricks & AI Automation

Qualcomm; San Diego (CA); On-site; USD 158,400 - 237,600; Full time

Benefits offered by this job

Competitive bonus and RSU grant opportunities

Comprehensive benefits package

Job summary

Qualcomm is looking for a Senior Staff Data Engineer to design and operate a scalable data platform. This role involves building reusable frameworks, standardized pipelines, and supporting advanced use cases in data analytics and AI.

Ideal candidates will have 7+ years of IT experience, a strong ability in programming (Python, SQL), and expertise in AWS and Databricks Lakehouse. The position is full-time onsite in San Diego, CA, offering competitive compensation and benefits.

Qualifications

• 7+ years of IT-related work experience with a Bachelor's degree or 9+ years without.
• 5+ years experience with programming languages such as Java or Python.
• Strong understanding of SQL/NoSQL databases and data structures.

Responsibilities

• Design and maintain scalable data pipelines.
• Implement end-to-end workflows from data ingestion to analytical datasets.
• Drive performance tuning and cost optimization for data platforms.

Skills

Data engineering frameworks

Python

SQL

AWS

Data quality monitoring

Education

Bachelor's degree in Computer Engineering, Computer Science, or related field

Tools

Databricks Lakehouse

Delta Lake

Unity Catalog

Job description

Qualcomm is looking for a Senior Staff Data Engineer to design and operate a scalable data platform. This role involves building reusable frameworks, standardized pipelines, and supporting advanced use cases in data analytics and AI.

Ideal candidates will have 7+ years of IT experience, a strong ability in programming (Python, SQL), and expertise in AWS and Databricks Lakehouse. The position is full-time onsite in San Diego, CA, offering competitive compensation and benefits.