Big Data Engineer: Scalable Pipelines in Nashville

Apple; Nashville (TN); On-site; USD 41,000 - 69,000; Full time

Job summary

Apple in Nashville is seeking a Big Data Engineer to build scalable data pipelines and analytics infrastructure for Apple Pay. You will collaborate with cross-functional teams to deliver reliable data products and insights from large-scale datasets.

The role requires deep expertise in Hadoop ecosystem tools, Python, and SQL, with a focus on performance, reliability, and extensibility in a fast-moving environment.

Qualifications

• Experience building large-scale data pipelines and systems.
• Familiarity with Hadoop ecosystem tools and distributed storage.
• Proficient in Python and SQL for data processing and analysis.
• Strong skills in data modeling and data quality checks.

Responsibilities

• Design and implement scalable data pipelines for Apple Pay analytics.
• Collaborate with data scientists and engineers to deliver reliable data products.
• Optimize data workflows for performance, reliability, and maintainability.
• Work with APIs and servers to integrate data sources and enable insights.

Skills

Large data pipelines

Hadoop ecosystem

Python

SQL

Java

Shell scripting

ETL

Education

Bachelor degree

Tools

Apache Hadoop

Apache Pig

Apache Hive

Apache Sqoop

Apache Flink

Job description

Apple in Nashville is seeking a Big Data Engineer to build scalable data pipelines and analytics infrastructure for Apple Pay. You will collaborate with cross-functional teams to deliver reliable data products and insights from large-scale datasets.

The role requires deep expertise in Hadoop ecosystem tools, Python, and SQL, with a focus on performance, reliability, and extensibility in a fast-moving environment.