Senior Data Infrastructure Engineer – Spark & ML

MaziCTools; United States; Remote; USD 176,000 - 312,000; Full time

Benefits offered by this job

Stock options

Medical coverage

Relocation assistance

Job summary

Apple in Cupertino, California, seeks a Data Infrastructure Engineer to design robust data processing frameworks for log data pipelines and a flexible data insights infrastructure.

You will work with Spark and Python/Scala, collaborating with Siri, Search, and ML teams to build scalable data platforms, ensuring data quality and enabling advances in big data processing on device and server.

Qualifications

• B.S. degree in Computer Science or Data Science.
• Experience with Spark and Python/Scala.
• Experience with cloud platforms AWS and GCP.

Responsibilities

• Design and implement robust data processing frameworks for large-scale datasets.
• Collaborate with Siri, Search and ML teams to build data insights platforms.
• Ensure data quality and system scalability for analytics and ML.

Skills

Spark

Python

Scala

Distributed computing

AWS

GCP

Machine learning data mining

Education

B.S. in Computer Science or Data Science

MS or PhD in Computer Science

Job description

Apple in Cupertino, California, seeks a Data Infrastructure Engineer to design robust data processing frameworks for log data pipelines and a flexible data insights infrastructure.

You will work with Spark and Python/Scala, collaborating with Siri, Search, and ML teams to build scalable data platforms, ensuring data quality and enabling advances in big data processing on device and server.