Staff Data Engineer – Databricks Lakehouse & AI Automation

MaC VC; San Diego (CA); On-site; USD 134,000 - 200,000; Full time

Job summary

Qualcomm Incorporated is seeking a Staff Data Engineer to design, build, and operate a modern, scalable data platform with Databricks Lakehouse as a core foundation. You will develop reusable data frameworks, standardized pipelines, and AI‑driven automation to enable analytics, reporting, and ML workflows, with emphasis on reliability and cost efficiency.

This is a full‑time onsite role in San Diego, CA (5 days per week).

Qualifications

• 5+ years IT experience with a related degree.
• 7+ years IT experience without a Bachelor's degree.
• 3+ years programming (e.g., Java, Python).
• 3+ years experience with SQL or NoSQL databases.
• 3+ years experience with data structures and algorithms.

Responsibilities

• Design, build, and maintain scalable batch and streaming data pipelines.
• Develop reusable data engineering frameworks, libraries, and templates for ingestion, transformation, validation, and publishing.
• Establish standardized patterns for data modeling, transformations, and pipeline orchestration.
• Implement end-to-end data workflows from raw ingestion to curated analytical datasets.
• Leverage AI-based techniques to automate and optimize data engineering workflows.

Skills

AWS

Databricks

Python

Data Pipelines

Data Frameworks

Education

Bachelor's degree in Computer Engineering, CS, IS or related field

Tools

Delta Lake

Unity Catalog

Job description

Qualcomm Incorporated is seeking a Staff Data Engineer to design, build, and operate a modern, scalable data platform with Databricks Lakehouse as a core foundation. You will develop reusable data frameworks, standardized pipelines, and AI‑driven automation to enable analytics, reporting, and ML workflows, with emphasis on reliability and cost efficiency.

This is a full‑time onsite role in San Diego, CA (5 days per week).