Senior Data Platform Engineer – AI & Databricks Lakehouse

Qualcomm; San Diego (CA); On-site; USD 132,000 - 198,000; Full time

Benefits offered by this job

Annual discretionary bonuses

RSU grants

Comprehensive benefits program

Job summary

Qualcomm is looking for a Staff Data Engineer based in San Diego, CA. In this role, you will design and maintain modern data pipelines, focusing on building frameworks and automation that support analytics and advanced use cases like AI. The position demands strong experience in data engineering and contributions to architectural decisions.

This full-time role offers a salary range of $132,000.00 to $198,000.00 alongside bonuses and comprehensive benefits.

Qualifications

• 5+ years of IT-related work experience with a Bachelor's degree.
• 8+ years of experience building and operating data platforms.
• Strong hands-on experience with cloud security best practices.

Responsibilities

• Design, build, and maintain scalable data pipelines.
• Implement automation in data workflows.
• Define and monitor SLIs/SLOs for data pipelines.

Skills

Programming in Java or Python

SQL or NoSQL Databases

Data structures and algorithms

Data pipeline design and maintenance

Cloud experience with AWS

Education

Bachelor’s degree in Computer Engineering, Computer Science, Information Systems, or related field

Tools

Databricks Lakehouse

AWS

Data observability and monitoring tools

Job description

Qualcomm is looking for a Staff Data Engineer based in San Diego, CA. In this role, you will design and maintain modern data pipelines, focusing on building frameworks and automation that support analytics and advanced use cases like AI. The position demands strong experience in data engineering and contributions to architectural decisions.

This full-time role offers a salary range of $132,000.00 to $198,000.00 alongside bonuses and comprehensive benefits.