Staff Data Engineer / Full‑Stack Data Developer (Databricks / Python)

Job Area

Information Technology Group, Information Technology Group > IT Software Developer

Company

Qualcomm Incorporated

General Summary

The Staff Data Engineer / Full‑Stack Data Developer is a senior, hands‑on individual contributor responsible for designing, building, optimizing, and operating data pipelines, curated data products, and Databricks‑native data applications on a modern cloud Lakehouse platform. This role is critical to enabling enterprise analytics, BI, AI/ML, and data‑driven applications, with deep expertise in Databricks, Python, Spark, and Databricks application development. This position requires strong end‑to‑end ownership of data engineering and data app solutions, production‑grade engineering rigor, and the ability to collaborate across platform, analytics, and application teams. This role requires full‑time onsite work in San Diego, CA (5 days per week).

Minimum Qualifications

• 5+ years of IT‑related work experience with a Bachelor's degree in Computer Engineering, Computer Science, Information Systems or a related field.
• OR 7+ years of IT‑related work experience without a Bachelor’s degree.
• 3+ years of work experience with programming (e.g., Java, Python).
• 3+ years of work experience with SQL or NoSQL Databases.
• 3+ years of work experience with Data Structures and algorithms.

Key Responsibilities

Data Engineering & Development

• Design, develop, and maintain scalable ETL/ELT pipelines using Databricks, PySpark, and Python to support enterprise analytics, AI, and application use cases.
• Build and manage curated data layers following Lakehouse Medallion architecture best practices (Bronze / Silver / Gold).
• Develop reusable, modular data transformation frameworks to accelerate delivery across domains.

Databricks Application Development

• Design and develop Data