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Data Engineer



Software Engineering, Data Science
Cupertino, CA, USA
Posted on Friday, May 10, 2024


Weekly Hours: 40
Role Number:200550557
The people here at Apple don't just create products - they create the kind of wonder that's revolutionized entire industries. It's the diversity of those people and their ideas that inspires the innovation that runs through everything we do, from amazing technology to industry-leading environmental efforts. Join Apple, and help us leave the world better than we found it! Apple is seeking an experienced, detail-minded data engineer to join our Worldwide Sales Team, Data Solutions & Initiatives (DSI). DSI is a product strategy and engineering team that works closely with business development and sales finance. If you are someone who looks forward to solving complex business problems and is excited about this opportunity, please reach out to us.


We are a rapidly growing team with plenty of interesting technical and business challenges to solve. We seek a self-starter, who is willing to learn fast, adapt well to changing requirements and work with cross functional teams. Data quality is our goal and we expect you to meet our high standards on data and software quality. As part of this role, you will: * Architect, develop, and test large scale data solutions, to provide efficient analytical and reporting capabilities across Apple’s global and regional sales and finance teams. * Develop highly scalable data pipelines to load data from various source systems, use Apache Airflow to orchestrate, schedule and monitor the workflows. * Build generic and reusable solutions that can scale and utilize various technologies and frameworks to solve our complex business requirements. * Ensure data quality through setting up data quality management frameworks and anomaly detection capabilities. * Be required to understand existing solutions, fine-tune them and support them as needed.

Minimum Qualifications

Key Qualifications

  • 8+ years of hands-on experience in data architecture, dimensional modeling, data warehousing and data engineering
  • Strong expertise in design and development on cloud data warehouses like Snowflake, Redshift, BigQuery and Big-Data platforms like Spark, Dremio, Hadoop, Hive
  • Proficiency in design and development of custom ETL pipelines using SQL and scripting languages (Python/ Shell/ Golang) and workflow management tools like Airflow
  • Proficiency in advanced SQL, performance tuning
  • Experience with modern data architecture like data lakes, data lakehouse and cloud computing platforms like AWS, Google Cloud
  • Experience with version control systems, CI/CD practices, testing, and migration tools for database and software
  • Ability to learn and adapt to new tools and technologies, in a fast paced environment
  • Exhibit excellent oral and written communication skills, with the ability to work individually, navigating through ambiguity or as part of a team

Preferred Qualifications

Education & Experience

BS or MS in Engineering/Computer Science

Additional Requirements

Pay & Benefits

  • Apple is an equal opportunity employer that is committed to inclusion and diversity. We take affirmative action to ensure equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant.