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# Data Engineer, Apple Ads

- **Company:** Apple Inc.
- **Location:** United States
- **Contract:** Permanent contract
- **Skills:** Amazon S3, Data Analysis, BigQuery, Cloud Database, Computer Engineering, Data Governance, Data Infrastructure, Data Stores, Data Warehousing, Dimensional Modeling, Python (Programming Language), Uptime, Standard Sql, Software Engineering, SQL Server Integration Services, Talend, Data Processing, Informatica Powercenter, Snowflake, Apache Spark, Core Data, Kubernetes, Information Technology, Apache Flink, Apache Kafka, Data Management, Data Pipelines, Amazon Redshift
- **Published:** September 25, 2026
- **Apply:** https://www.dice.com/job-detail/7a09815b-dc93-40d7-8962-4acb46a848fc

## About the Role

You will be a key enabler for teams of architects, engineers, analysts, data scientists, and business users. A successful candidate will have experience building data processing pipelines, data models and managing cloud based data warehouse platforms., Minimum 1+ years experience in Cloud Data Engineering, preferably with a background in computer science, mathematics, or a related quantitative field.

Expertise in building Cloud Data Warehouses in Snowflake, Redshift, BigQuery or analogous architectures.

Deep SQL expertise, data modeling, dimensional modeling and experience with data governance

Experience with the practical application of data warehousing concepts, methodologies, and frameworks

Experience using data processing tools and technologies such as Python, Spark, Talend, Informatica, SSIS or DBT

Embrace data platform thinking, design and develop data pipelines keeping security, scale, uptime and reliability in mind

Able to confidently express the benefits and constraints of technology solutions to technology partners, stakeholders, and team members.

Bachelor's degree in Computer Science, Software Engineering, Computer Engineering, or a related technical field, or equivalent practical experience.

Preferred Qualifications

Experience designing and operating petabyte-scale data processing systems.

Deep expertise in Apache Spark performance tuning and optimization.

Experience with both batch and real-time/streaming architectures, including Kafka and/or Flink.

Experience building data platforms or processing frameworks that are reused by multiple teams or pipelines.

Experience with AWS technologies, including S3 and Kubernetes/EKS or equivalent cloud platforms.

## Description

The Ad Platforms Data team is seeking a Data Engineer specializing in building high performance data stores to enable next generation analytical solutions. In this role, you will work as a key member of a data-centric team to drive the development, execution, and continuous improvement of core data infrastructure and processes. You will have a key role in the joint design and development of the data model, pipelines, implementation and delivery of the analytical data warehouse supporting our suite of customer experiences in addition to ad hoc and advanced analytics.


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