Data Engineer • Mid-Level

Who you are

You have a strong background in data quality architecture, with hands-on experience applying large language models and semantic technologies to solve complex data challenges. Your expertise in machine learning and generative AI enables you to design innovative solutions that enhance data quality across enterprise systems. You are adept at integrating AI capabilities for automated profiling, anomaly detection, and root cause analysis, ensuring data integrity and governance.

You thrive in collaborative environments, working closely with cross-functional teams to implement data quality frameworks that scale across global operations. Your ability to communicate complex technical concepts to non-technical stakeholders makes you an effective bridge between data engineering and business needs. You are committed to continuous improvement and are always looking for ways to enhance data processes and governance.

What you'll do

In this role, you will lead the design and implementation of enterprise data quality solutions, leveraging generative AI and machine learning capabilities. You will create intelligent frameworks that automate data profiling, anomaly detection, and remediation processes. Collaborating with sales and engineering teams, you will ensure that data quality solutions align with business objectives and enhance operational efficiency.

You will be responsible for developing and maintaining data quality metrics, conducting root cause analysis, and implementing remediation strategies to address data quality issues. Your role will involve designing end-to-end data quality architectures that integrate advanced AI technologies, enabling self-improving data quality systems. You will also mentor junior team members, sharing your knowledge and expertise in data governance and quality best practices.

What we offer

At Apple, you will be part of a diverse team that values innovation and collaboration. We offer competitive compensation and benefits, along with opportunities for professional growth and development. You will work in an inclusive environment that encourages creativity and supports your career aspirations. Join us in making a positive impact on the world through technology and data excellence.