Software Development Engineer, Data - AI, Search & Knowledge Platforms

Apple • Santa Clara, CA

5d

About The Position

We are seeking a Data Engineer to design and build internal datasets and pipelines that improve developer workflows, ensure data quality, and strengthen system reliability at scale. This role sits at the intersection of developer experience, data reliability, and telemetry — with opportunities to work across both server-side systems and client devices. You’ll work on tools and frameworks that give engineers better visibility into system health and data quality, while also driving improvements in CI/CD processes and automation. The role is ideal for someone who enjoys building platforms that empower other engineers and who thrives in fast-moving environments.

In this role, you will be responsible for designing and delivering tools and frameworks that improve how engineering teams build, test, and release software. You will focus on areas such as CI/CD automation, data validation, and system observability, with an emphasis on creating scalable solutions that raise engineering productivity. You’ll also contribute to telemetry and instrumentation across services and devices, ensuring that systems provide reliable, actionable insights into performance, usage, and quality. This requires close collaboration with engineers across disciplines to understand their workflows and deliver solutions that improve reliability and transparency.

Requirements

• 3+ years of professional software or data engineering experience
• Strong ability to turn ambiguous product or business questions into clear data solutions.
• Strong programming and data skills, including SQL and Python, and experience with large-scale data pipelines.
• Experience with data quality, validation, and large datasets.
• Experience writing and maintaining high-quality, well-tested code.
• Knowledge of data quality frameworks and validation techniques.
• Knowledge of data governance and compliance frameworks.
• Bachelor’s or Master’s degree in Computer Science, Software Engineering, or related technical field.

Nice To Haves

• Strong sense of ownership and accountability for reliability and quality.
• Excellent communication skills with the ability to distill complex systems into clear explanations.
• Demonstrated ability to collaborate effectively across teams.
• Familiarity with cloud platforms (AWS, GCP, or Azure) and containerized environments (Docker, Kubernetes).
• Prior experience in developer experience engineering, platform engineering, or CI/CD environments is highly desirable.

Responsibilities

• Designing and building internal datasets and pipelines that improve developer workflows, ensure data quality, and strengthen system reliability at scale.
• Working on tools and frameworks that give engineers better visibility into system health and data quality.
• Driving improvements in CI/CD processes and automation.
• Designing and delivering tools and frameworks that improve how engineering teams build, test, and release software.
• Focusing on areas such as CI/CD automation, data validation, and system observability, with an emphasis on creating scalable solutions that raise engineering productivity.
• Contributing to telemetry and instrumentation across services and devices, ensuring that systems provide reliable, actionable insights into performance, usage, and quality.
• Collaborating with engineers across disciplines to understand their workflows and deliver solutions that improve reliability and transparency.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level