Senior Data Engineer — Databricks & Python Data Apps

Qualcomm; San Diego (CA); On-site; USD 128,000 - 192,000; Full time

Job summary

Qualcomm Incorporated in San Diego, CA is seeking a Staff Data Engineer / Full-Stack Data Developer to design, build, and operate data pipelines and Databricks-native apps on a modern Lakehouse platform. You will own end-to-end data solutions enabling enterprise analytics, BI, and AI/ML with strong PySpark, Python, and SQL skills.

In this onsite role, you will collaborate across platform, analytics, and application teams, drive performance and governance, and mentor others while delivering

Qualifications

• 5+ years of IT-related work experience with a Bachelor's degree in Computer Engineering, Computer Science, Information Systems or a related field.
• 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.

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.
• Databricks Application Development: Design and develop Databricks-native data applications, including notebook-based apps, dashboards, and interactive data experiences for analytics and business users.
• Performance, Scalability & Reliability: Optimize Spark jobs and Databricks workloads for performance, cost efficiency, scalability, and reliability.
• Production Support & Operations: Own and support production data pipelines and Databricks applications, including monitoring, troubleshooting, and root-cause analysis.
• Full-Stack Data Enablement: Collaborate with BI, analytics, AI/ML, platform, and application teams to deliver end-to-end data solutions.
• Engineering Excellence & Technical Influence: Define best practices for data engineering and Databricks app development, participate in architecture reviews and roadmaps.

Skills

Python

PySpark

Databricks

SQL

Data pipelines

Data apps

Spark

Education

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

Tools

AWS

Unity Catalog

Kafka

CI/CD

Git workflows

S3

IAM

EC2

Glue

Job description

Qualcomm Incorporated in San Diego, CA is seeking a Staff Data Engineer / Full-Stack Data Developer to design, build, and operate data pipelines and Databricks-native apps on a modern Lakehouse platform. You will own end-to-end data solutions enabling enterprise analytics, BI, and AI/ML with strong PySpark, Python, and SQL skills.

In this onsite role, you will collaborate across platform, analytics, and application teams, drive performance and governance, and mentor others while delivering