Data Engineer, Apple Ads

Apple Inc

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Work type: On-site
Location: Austin, TX
Posted: 2 days ago
Freshness: Confirmed live today
Nearby: 99+ roles within 25 mi

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How this pay compares to similar roles

Similar $213k

$152k $278k

below market most similar roles pay here above market

This listing doesn't post a salary. Most similar roles pay $175,250–$250,512.

Based on 240 similar postings.

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About Apple Inc

Apple Inc. is a multinational technology company known for designing and manufacturing consumer electronics, software, and online services, including the iPhone, Mac, iPad, and App Store. Industry: Consumer Electronics & Software

Apple Inc currently has 3546 open roles on FindRole.

Listed pay typically runs $166,600–$277,600 across 2746 roles with salary data.

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At a glance

TL;DR · Data Engineer, Apple Ads

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The Data Engineer, Apple Ads joins the Ad Platforms Data team to build high performance data stores for next generation analytical solutions. 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. Your daily responsibilities include joint design and development of the data model, pipelines, and implementation of the analytical data warehouse supporting customer experiences. You will analyze infrastructure to spot gaps, automate data processing tasks, and ensure high performance, privacy, and scalability. Required skills include expertise in Cloud Data Warehouses like Snowflake, Redshift, or BigQuery, deep SQL expertise, and data modeling. You must also possess experience with data processing tools such as Python, Spark, Talend, Informatica, SSIS, or DBT.

What does a Data Engineer earn?

Median $162000 from 202 postings across 58 companies.

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Skills

SQL Python Apache Spark Snowflake Redshift BigQuery DBT Kafka Flink AWS S3 Kubernetes EKS Data Modeling Dimensional Modeling Data Pipelines Data Governance Streaming Architecture

What you'll do

Analyze data models and infrastructure to identify gaps and suggest architectural improvements.
Design and support next-generation analytics and reporting systems with engineering teams.
Build and manage high-performance data processing pipelines and cloud-based data warehouses.
Automate and optimize existing data processing tasks by identifying and implementing patterns.
Ensure all data solutions meet high standards for performance, privacy, security, and scalability.
Guide partners on best practices for using the data warehouse platform through knowledge sharing.
Develop data models and pipelines that support ad hoc and advanced analytics.

What we're looking for

Minimum 1+ years of experience in Cloud Data Engineering.
Bachelor’s degree in Computer Science, Software Engineering, Computer Engineering, or a related technical field, or equivalent practical experience.
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 using data processing tools such as Python, Spark, Talend, Informatica, SSIS, or DBT.
Experience designing and operating petabyte-scale data processing systems (preferred).
Deep expertise in Apache Spark performance tuning and optimization (preferred).
Experience with AWS technologies, including S3 and Kubernetes/EKS, or equivalent cloud platforms (preferred).