Staff IT Data Engineer (Data Stack Data Engineer)

Company:

Qualcomm Incorporated

Job Area:

Information Technology Group, Information Technology Group > IT Data Engineer

General Summary:

Implements large scale data processing (structural, statistical etc.,) pipelines, creates production inference pipelines, associated APIs and analytics that support/provide insights for data driven decision making. Designs and develops data models, APIs, and pipelines to handle analytical workloads, data sharing, and movement across multiple systems at various grains in a large-scale data processing environment. Designs and maintains data systems and data structures for optimal read/write performance. Implements machine learning or statistical/heuristic learning in data pipelines based on input from Data Scientists.

Responsibilities:

• 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.

 

Minimum Qualifications:

• 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.

Preferred Qualifications:

• 5+ Years of prior experience in Data Engineering and Databases
• 5+ years of Python programming experience
• Experience with ETL framework like Airflow, Dagster
• Experience with Apache Spark (PySpark), Apache Beam, relevant Big Data processing Frameworks
• 8+ years of IT-related work experience with a Bachelor's degree in
• Experience with system integration and real-time data pipelines using Kafka, Red Panda
• 4+ years of experience developing with GCP (BigQuery, PubSub, DataProc)
• Experience in advanced SQL using MPP databases like Clickhouse and administration is a plus.
• Experience creating data catalog for Data Lakes
• Proven track record of coding in a multi-developer environment – code collaboration, reviews, etc.
• Exposure to other programming languages like Rust, C++ are a plus.

To all Staffing and Recruiting Agencies: Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications.

EEO Employer: Qualcomm is an equal opportunity employer; all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or any other protected classification.

Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law.

 

Pay range and Other Compensation & Benefits:

$132,000.00 - $198,000.00

The above pay scale reflects the broad, minimum to maximum, pay scale for this job code for the location for which it has been posted. Even more importantly, please note that salary is only one component of total compensation at Qualcomm.  We also offer a competitive annual discretionary bonus program and opportunity for annual RSU grants (employees on sales-incentive plans are not eligible for our annual bonus).  In addition, our highly competitive benefits package is designed to support your success at work, at home, and at play. Your recruiter will be happy to discuss all that Qualcomm has to offer – and you can review more details about our US benefits at this link.

If you would like more information about this role, please contact Qualcomm Careers.