Data Engineer • Mid-Level

Who you are

You have a strong background in data engineering, with experience in building scalable data infrastructure that supports health research. Your expertise in designing and developing high-throughput data pipelines allows you to handle complex, time-series health data effectively. You are skilled in implementing robust ETL processes using distributed computing frameworks like Apache Spark, ensuring data accuracy and accessibility for research teams.

You thrive in collaborative environments, working closely with researchers, clinicians, and product teams to gather requirements and contribute to study designs. Your ability to visualize data and create dashboards enhances data exploration and analysis, providing valuable insights for health studies. You are committed to enabling science and product innovation that can improve lives through data.

What you'll do

In this role, you will design and build scalable, parallelized data systems to process large volumes of sensor data collected from health studies. You will implement ETL pipelines that transform binary and proprietary data formats, ensuring that the data architecture supports evolving research needs. Collaborating with study stakeholders, you will gather requirements and contribute to the study design process, ensuring that the data infrastructure is robust and reliable.

You will also build tools and dashboards to visualize health data, supporting data exploration and research insights. Your work will directly contribute to the advancement of health research and product development at Apple, making a significant impact on the lives of users. You will engage with cross-functional teams, including Software, Algorithms, and Quality, to ensure that health data is accurate, accessible, and actionable.

What we offer

At Apple, you will be part of a team that values inclusion and diversity, promoting equal opportunity for all applicants. You will have the chance to work on cutting-edge health research projects that can change lives. We encourage you to apply even if your experience doesn't match every requirement, as we believe in the potential of diverse teams to build better products.