Business Intelligence Data Engineer, Retail Customer Care, Apple

October 15, 2026

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Job Description

Apple is hiring a business intelligence data engineer to support retail customer care analytics and decision-making. The role focuses on building scalable data pipelines, developing Tableau reporting solutions, and maintaining data infrastructure. Responsibilities include ETL processes, data architecture, SQL optimization, data integrity, and stakeholder collaboration. The position also requires strong Python, Snowflake, Airflow, and data warehousing expertise. 

Experience: 5+ years

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Responsibilities

  • Scalable data pipeline development through stored procedures and Apache Airflow for processing, scheduling, and monitoring.
  • Re-useable data architecture solution development according to best practices of data warehousing and business needs.
  • Development of Tableau reporting solution that will help to analyze contact center performance.
  • Improvement of existing data pipelines and Tableau solutions from the performance and reporting standpoint.
  • Collaboration with stakeholders and global teams for transforming business needs into technical solutions

Requirements

  • 5+ years of experience as a data engineer or in business intelligence with a focus on building sophisticated data pipelines.
  • Experience in building pipelines, data modelling, data aggregation, Apache Spark, Airflow and stored procedures.
  • Expertise in Snowflake, Hadoop, database fundamentals and SQL tuning for big data.
  • Programming in Python to support data engineering, analytics, pipelines and technical problem solving.
  • Good communication and presentation skills with experience in explaining data insights to diverse teams.

Preferred Qualifications

  • Minimum of seven or more years of experience in operations, analytics, consulting, corporate strategy, or any other relevant professional field.
  • Bachelor’s degree in computer science, math, statistics, economics, or any other quantitative field; Master’s degree preferred.
  • Expert understanding of Tableau with hands-on experience in creating analytical reports and dashboard visualization solutions.
  • Prior experience with Snowflake AI, Tableau AI, advanced analytics, or any other cutting-edge data technology would be an advantage.
  • Excellent attention to detail, multitasking skills, problem-solving abilities, and project management skills.