Data Engineer • Mid-Level

Who you are

You have a Bachelor's degree or higher in Computer Science, Data Engineering, Data Science, Math, or related fields. You possess hands-on experience using cloud data analytics platforms such as Snowflake, Trino, or BigQuery, and you are adept at building data transformation pipelines using frameworks like dbt or Apache Spark. Your expertise extends to data modeling and data governance techniques, including Row Access Policies and role-based access control (RBAC).

You thrive in collaborative environments, effectively bridging the gap between business needs, analytical solutions, and engineering requirements. Your proactive approach to collaboration with other data engineering teams is essential for scaling solutions across the organization. You are detail-oriented and have a strong understanding of data integrity and quality.

Desirable

Experience with pipeline orchestration frameworks such as Airflow is preferred, as it enhances your ability to manage complex data workflows efficiently. Familiarity with machine learning concepts and their application in data engineering will also be beneficial in this role.

What you'll do

In this role, you will work closely with data scientists, hardware engineers, hardware test, and manufacturing operations teams to build scalable data pipelines and solutions that support Apple's camera hardware initiatives. You will be responsible for designing and implementing data architectures that facilitate efficient data processing and reporting. Your work will enable the team to handle growing data volumes from camera simulations, performance calibrations, and measurement results.

You will collaborate with cross-functional teams to ensure that data solutions meet the analytical needs of the business while adhering to best practices in data governance. Your role will involve developing and maintaining data transformation pipelines, ensuring data quality, and optimizing performance for data retrieval and analysis.

You will also engage in proactive communication with stakeholders to understand their data needs and provide insights that drive decision-making. Your contributions will play a crucial role in enhancing the overall efficiency and effectiveness of data-driven initiatives within the organization.

What we offer

Apple offers a dynamic work environment where innovation is at the forefront. You will have the opportunity to work on cutting-edge technology that impacts millions of users worldwide. The company values diversity and inclusion, fostering a culture where every employee can thrive. Competitive compensation and benefits packages are provided, along with opportunities for professional growth and development within the organization.