Staff IT Data Engineer (Data Stack Data Engineer)

A leading technology company specializing in wireless telecommunications and semiconductor development.
$132,000 - $198,000
Data
Staff Software Engineer
In-Person
5+ years of experience
Enterprise SaaS

Description For Staff IT Data Engineer (Data Stack Data Engineer)

Qualcomm Incorporated is seeking a Staff IT Data Engineer to join their team in San Diego. This role represents an exciting opportunity to work with one of the world's leading technology companies specializing in wireless telecommunications and semiconductor development.

As a Staff IT Data Engineer, you will be responsible for implementing large-scale data processing pipelines and creating production inference pipelines that support data-driven decision making. You'll work with cutting-edge technologies and frameworks including Python, Java, SQL, and Kafka to design and develop robust data solutions.

The role requires a strong background in data engineering, with at least 5 years of IT-related experience and expertise in programming languages such as Python and Java. You'll be working on critical projects involving Analytics Infrastructure & Data Lake development, statistical data analysis, and the implementation of efficient, scalable, and resilient data engineering solutions.

Key responsibilities include developing and maintaining data systems, partnering on analytics requests, designing data recovery processes, and ensuring data quality throughout the pipeline. You'll collaborate with a global team and participate in performance tuning efforts at both code and infrastructure levels.

Qualcomm offers a comprehensive benefits package including medical, dental, and vision insurance, 401k, equity opportunities, and education budget. The company provides a collaborative work environment where you can grow your career while working on challenging projects that impact the future of technology.

The ideal candidate will have experience with ETL frameworks like Airflow or Dagster, Apache Spark, and real-time data pipelines using Kafka. Strong knowledge of data structures, algorithms, and advanced SQL is essential. You'll be working in an environment that values innovation, collaboration, and technical excellence.

This position offers a competitive salary range of $132,000 to $198,000, along with additional benefits and opportunities for professional growth. Join Qualcomm's team and be part of developing next-generation data solutions that power the future of wireless technology and beyond.

The role is based in San Diego, California, where you'll have the opportunity to work with some of the industry's brightest minds in a company known for its technological innovation and market leadership. If you're passionate about data engineering and want to make an impact at a global scale, this position offers the perfect opportunity to advance your career while working on meaningful projects.

Last updated a month ago

Responsibilities For Staff IT Data Engineer (Data Stack Data Engineer)

  • Develop, code and maintain systems to support the Analytics Infrastructure & Data Lake
  • Partner/Contribute on analytics requests and do statistical data analysis as needed
  • Development and operations of data pipeline and associated processes
  • Research and develop efficient, scalable, resilient, self-healing and reusable data engineering solutions
  • Design data recovery, reconciliation, and data life-cycle management processes
  • Collaborate with global team on projects and operations
  • Participate in performance tuning efforts at code and infrastructure level
  • Building data quality as a process within the pipelines

Requirements For Staff IT Data Engineer (Data Stack Data Engineer)

Python
Java
Kafka
  • 5+ years of IT-related work experience with a Bachelor's degree in Computer Engineering, Computer Science, Information Systems or 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
  • Experience with ETL framework like Airflow, Dagster
  • Experience with Apache Spark (PySpark), Apache Beam
  • Experience with system integration and real-time data pipelines using Kafka
  • Experience in advanced SQL using MPP databases

Benefits For Staff IT Data Engineer (Data Stack Data Engineer)

Medical Insurance
Dental Insurance
Vision Insurance
401k
Equity
Education Budget
  • Medical Insurance
  • Dental Insurance
  • Vision Insurance
  • 401k
  • Equity
  • Education Budget

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