Senior Databricks Data Engineer & Full-Stack Developer

Qualcomm; San Diego (CA); On-site; USD 128,100 - 192,100; Full time

Benefits offered by this job

Competitive annual discretionary bonus program

Opportunity for annual RSU grants

Comprehensive benefits package

Job summary

A leading technology firm is seeking a Senior Data Engineer / Full-Stack Data Developer in San Diego, CA. This role requires 5+ years of relevant IT experience, strong proficiency in Python and Databricks, and expertise in data engineering. The successful candidate will design and maintain data pipelines for enterprise analytics, collaborate with cross-functional teams, and ensure performance and reliability in production environments. A competitive salary range of $128,100 to $192,100 is offered, along with comprehensive benefits.

Qualifications

• 5+ years of hands-on data engineering experience, owning production-grade pipelines.
• Experience with programming languages such as Java or Python.
• Strong proficiency in working with SQL or NoSQL databases.

Responsibilities

• Design, develop, and maintain scalable ETL/ELT pipelines using Databricks and Python.
• Build and manage curated data layers based on Lakehouse architecture.
• Collaborate with BI, analytics, and application teams to deliver data solutions.

Skills

Data engineering

Python

SQL

Apache Spark

Databricks

Education

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

Tools

Databricks

AWS (e.g., S3, IAM)

Job description

A leading technology firm is seeking a Senior Data Engineer / Full-Stack Data Developer in San Diego, CA. This role requires 5+ years of relevant IT experience, strong proficiency in Python and Databricks, and expertise in data engineering. The successful candidate will design and maintain data pipelines for enterprise analytics, collaborate with cross-functional teams, and ensure performance and reliability in production environments. A competitive salary range of $128,100 to $192,100 is offered, along with comprehensive benefits.