Senior Data Engineer: Real-Time ML Pipelines

Apple Inc.; Cupertino (CA); On-site; USD 185,000 - 325,000; Full time

Benefits offered by this job

Health insurance

Employee stock program

Relocation assistance

Tuition reimbursement

Job summary

Apple Inc. is seeking an experienced Data Engineer in Cupertino to design and operate scalable ETL/ELT pipelines, leveraging multimodal data and ML enrichment. You will build batch and streaming data flows, implement governance and observability, and work with ML teams to translate requirements into robust data solutions.

You will collaborate across data platforms, streaming ingestion, and model inference, shaping a scalable data foundation for analytics, billing, and planning use cases.

Qualifications

• Masters degree in a relevant field (CS/EE/Analytics).
• 10+ years in data engineering with large-scale ETL/ELT pipelines.
• Proficiency in dimensional data modeling and analytics schemas.
• Experience with SQL/NoSQL databases (Postgres/Cassandra/Redis).
• Strong Spark experience and Kafka-based data ingestion.
• Hands-on with Airflow, Docker, Kubernetes/EKS, and CI/CD tooling.
• Experience deploying ML pipelines and ML-enabled data enrichment.
• Familiarity with data governance, security, and privacy practices.

Responsibilities

• Design and build batch and streaming ETL/ELT pipelines at scale.
• Develop Kafka-based ingestion and processing pipelines into the data lake.
• Create robust data models optimized for analytics and reporting.
• Implement data quality checks, SLAs, and observability standards.
• Integrate raw signals with metadata to power downstream use cases.
• Enforce data lineage, schema governance, and security practices.
• Deliver logging, validation, cleaning, and transformation with good monitoring.
• Collaborate with ML engineers, data scientists, and platform teams.
• Advance the data stack with tooling, frameworks, and standards.

Skills

Apache Spark

Apache Kafka

Python

ETL/ELT pipelines

Data modeling

SQL/NoSQL databases

Airflow

Kubernetes

PySpark

AWS

Scala/Java

Delta Lake / Iceberg

ML pipelines / LLMs

DVC

GIT / CI/CD

ONNX Runtime / TensorRT

Education

Masters Degree

Tools

Apache Airflow

Docker

Kubernetes/EKS

Beams: Beam

Jenkins

Trino / Presto / BigQuery

Spark SQL

Flink

Job description

Apple Inc. is seeking an experienced Data Engineer in Cupertino to design and operate scalable ETL/ELT pipelines, leveraging multimodal data and ML enrichment. You will build batch and streaming data flows, implement governance and observability, and work with ML teams to translate requirements into robust data solutions.

You will collaborate across data platforms, streaming ingestion, and model inference, shaping a scalable data foundation for analytics, billing, and planning use cases.