Senior Data Engineer & Full‑Stack Data Developer (Databricks/Python) – SD

QUALCOMM, Inc.; San Diego (CA); Presencial; USD 130 000 - 195 000; Tempo integral

Resumo da oferta

Qualcomm Incorporated in San Diego, CA is seeking a Staff Data Engineer / Full‑Stack Data Developer (Databricks / Python) to own design, development, and production of data pipelines and Databricks‑native applications. You will work across analytics, AI/ML, BI, and platform teams to deliver scalable, secure data solutions.

The role emphasizes end‑to‑end ownership, performance optimization, data quality, and governance, with on‑site 5‑days‑a‑week availability in San Diego.

Qualificações

• 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.

Responsabilidades

• 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.
• Design and develop Databricks-native data applications, including notebook-based apps, Databricks dashboards, and interactive data experiences for analytics and business users.
• Build data APIs, parameterized pipelines, and app-integrated data services leveraging Databricks and Lakehouse capabilities.
• Partner with analytics, AI, and application teams to embed data and insights directly into workflows and applications.
• Ensure Databricks apps meet performance, security, governance, and usability standards.
• Optimize Apache Spark jobs and Databricks workloads for performance, cost efficiency, scalability, and reliability.
• Proactively address challenges related to data volume, schema evolution, and compute optimization.
• Implement robust data quality checks, validations, and anomaly detection within pipelines and apps.
• Own and support production data pipelines and Databricks applications, including monitoring, troubleshooting, and root‑cause analysis.
• Ensure high availability, data correctness, and SLA adherence for business‑critical datasets and apps.
• Contribute to observability, alerting, and operational automation.
• Collaborate with BI, analytics, AI/ML, platform, and application teams to deliver end‑to‑end data solutions.
• Enable data consumption across dashboards, reports, Databricks apps, AI models, APIs, and downstream applications.
• Translate business and analytical requirements into well‑designed data pipelines and data applications.
• Act as a technical leader and mentor, defining best practices for data engineering and Databricks app development.
• Participate in architecture reviews, design discussions, and technical roadmaps.
• Continuously evaluate and adopt modern Databricks features, GenAI capabilities, and automation patterns to improve developer productivity.

Conhecimentos

Python

Java

SQL

NoSQL

Data structures

Algorithms

Formação académica

Bachelor's degree in Computer Science or related field

Ferramentas

Databricks

PySpark

Spark

AWS

Descrição da oferta de emprego

Qualcomm Incorporated in San Diego, CA is seeking a Staff Data Engineer / Full‑Stack Data Developer (Databricks / Python) to own design, development, and production of data pipelines and Databricks‑native applications. You will work across analytics, AI/ML, BI, and platform teams to deliver scalable, secure data solutions.

The role emphasizes end‑to‑end ownership, performance optimization, data quality, and governance, with on‑site 5‑days‑a‑week availability in San Diego.