Qualcomm
Data Engineer, Staff
$134K–$200K
San Diego, California · On-site · Staff · Full-time · Posted Sep 17, 2026
- Experience
- 5+ years with a related Bachelor’s degree or 7+ years without one; 3+ years each in programming, SQL or NoSQL databases, and data structures and algorithms; also lists 8+ years building and operating data platforms or distributed data systems.
- Education
- Bachelor’s degree in Computer Engineering, Computer Science, Information Systems, or a related field; otherwise, 7+ years of IT-related work experience without a Bachelor’s degree.
- Visa sponsorship
- Not eligible for Qualcomm immigration sponsorship.
About the job
Designs and operates Qualcomm’s Databricks-based data platform, developing reusable frameworks and reliable pipelines while applying automation to support analytics and AI/ML consumers.
What you'll do
- Build scalable batch and streaming pipelines and reusable frameworks for ingestion, transformation, validation, and publishing.
- Improve platform reliability, security, governance, and cost through monitoring, incident response, performance tuning, and automation.
- Set shared data standards, contribute to architecture decisions, and mentor engineers across partner teams.
What they ask for
- Bachelor’s degree in a related field plus 5+ years of IT experience, or 7+ years without a Bachelor’s degree; the qualifications also request 8+ years building and operating data platforms or distributed data systems.
- 3+ years of programming experience, SQL or NoSQL database experience, and data structures and algorithms experience.
- Strong hands-on AWS experience and proven Databricks Lakehouse experience, including Delta Lake and Unity Catalog.
- Strong Python proficiency; experience designing reusable data engineering frameworks and scalable pipelines.
Nice to have
- Experience with AI-assisted automation, data observability, or Databricks cost and performance optimization.
- Experience with enterprise ingestion tools such as Fivetran or HVR, data lineage, metadata management, or secret management tools.
Pay
$133,600.00 - $200,400.00 USD base salary; annual discretionary bonus and annual RSU grants are also offered, with no amounts stated.
Tools
Databricks Lakehouse, Delta Lake, Unity Catalog, AWS, IAM, Python, Java, SQL
AI focus
Use AI-based techniques to automate data engineering workflows, including schema inference and evolution, data quality checks, anomaly detection, failure detection, and self-healing; apply AI-assisted monitoring and alerting. Supports AI/ML teams as platform consumers, without owning models.
Model-written summary · the original posting is authoritative