Big Data Engineer • Lead

Who you are

You have 5+ years of experience in big data engineering, with a strong background in designing and optimizing data platforms that support analytics and machine learning solutions. Your expertise in Python and SQL allows you to build robust data pipelines that ensure data quality and compliance. You thrive in collaborative environments, working with cross-functional teams to deliver impactful data products that drive business decisions. You understand the importance of privacy-first data practices and are committed to delivering reliable and scalable data solutions. Your problem-solving skills enable you to tackle complex data challenges effectively, ensuring that the data platforms you build meet the highest standards of trust and accuracy.

Desirable

Experience with Apache Spark and BigQuery is a plus, as is familiarity with machine learning frameworks. You are comfortable working in a fast-paced environment and can adapt to changing requirements while maintaining a focus on quality and compliance. Your ability to communicate technical concepts to non-technical stakeholders is essential for success in this role.

What you'll do

In this role, you will lead the design and implementation of data products that support Apple Pay and Wallet services. You will collaborate with engineering and product teams to ensure that data solutions are aligned with business objectives and regulatory requirements. Your responsibilities will include optimizing data pipelines, ensuring data quality, and enabling machine learning capabilities across the organization. You will also be involved in stakeholder communication, helping to translate business needs into technical solutions. As a lead engineer, you will mentor junior team members and contribute to the overall growth of the data engineering team.

What we offer

Apple offers a dynamic work environment where innovation is at the forefront of everything we do. You will have the opportunity to work on cutting-edge technologies and contribute to products that impact millions of users worldwide. We provide competitive compensation and benefits, along with opportunities for professional development and career growth. Join us in our mission to create exceptional experiences for our customers through data-driven insights and solutions.