The Staff Data Engineer / Full-Stack Data Developer at Qualcomm is a senior, hands-on role focused on designing, building, and optimizing data pipelines and applications on a modern cloud Lakehouse platform. This position requires deep expertise in Databricks, Python, and Spark, and is critical for enabling enterprise analytics and data-driven applications. The role demands strong end-to-end ownership of data engineering solutions and collaboration across various teams. This position is full-time and requires onsite work in San Diego, CA.

• 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 languages such as Java or Python.
• 3+ years of work experience with SQL or NoSQL databases.
• 3+ years of work experience with data structures and algorithms.

• Design, develop, and maintain scalable ETL/ELT pipelines using Databricks, PySpark, and Python.
• Build and manage curated data layers following Lakehouse Medallion architecture best practices.
• Develop reusable, modular data transformation frameworks to accelerate delivery across domains.
• Design and develop Databricks-native data applications, including notebook-based apps and dashboards.
• Optimize Apache Spark jobs and Databricks workloads for performance and cost efficiency.
• Own and support production data pipelines and Databricks applications, including monitoring and troubleshooting.
• Collaborate with BI, analytics, AI/ML, platform, and application teams to deliver end-to-end data solutions.
• Act as a technical leader and mentor, defining best practices for data engineering and Databricks app development.

• Qualcomm offers competitive compensation, annual bonuses, stock programs, comprehensive healthcare coverage, retirement plans, wellness programs, parental leave, flexible work options, and professional development opportunities.