Data Engineer, Infrastructure Services

A global technology company that designs, develops, and sells consumer electronics, software, and services.
Data
Mid-Level Software Engineer
In-Person
5,000+ Employees
3+ years of experience
Enterprise SaaS

Description For Data Engineer, Infrastructure Services

Imagine what you could do here. At Apple, new ideas have a way of becoming great products, services, and customer experiences very quickly. The Infrastructure Services Programs and Solutions team is seeking a Data Engineer to help build robust data and analytics solutions using advanced levels of SQL, Tableau, and Python.

As a Data Engineer, you will be at the forefront of designing, building, and operating innovative data and analytics solutions that are scalable and meet complex business needs. You'll work on creating executive reporting solutions and self-service tools for Apple's cross-functional teams, focusing on exploratory data analysis and actionable visualizations.

You will collaborate with cross-functional teams to track infrastructure, measure performance, and deliver top-tier tools and insights. The role involves building scalable, reusable solutions and working alongside data scientists and engineers to support data modeling, analysis, and reporting. Your work will directly impact critical business decisions on all lines of Apple Infrastructure, including fleet utilization, power management systems, and asset management.

This is an opportunity to join a diverse, fast-paced, and high-energy team where you'll see the direct consequences of your work on our business. If you're passionate about solving complex data-related challenges and building scalable data and analytics solutions, this role offers the perfect platform to make a significant impact at Apple.

Last updated 10 hours ago

Responsibilities For Data Engineer, Infrastructure Services

  • Design and develop executive reporting solutions and self-service tools
  • Conduct exploratory data analysis
  • Identify and resolve data discrepancies
  • Create actionable visualizations for decision-making
  • Build scalable, reusable solutions using various technologies
  • Support data modeling, analysis, and reporting
  • Collaborate with cross-functional teams
  • Empower business users to analyze and present insights

Requirements For Data Engineer, Infrastructure Services

Python
  • B.S in Computer Science, Mathematics, Statistics or similar field or equivalent experience
  • 3+ years of relevant data engineering and analytics experience
  • Highly proficient in Tableau
  • Proficiency in advanced SQL and performance tuning across MPP/NoSQL databases like Snowflake and Redshift in large-scale environments

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