layiq
worthy; deserving; fitting; suitable.
A role, opportunity, or path that merits attention, time, and pursuit.
Loading LAYIQ…Job opportunity
Apple
Austin, Texas
Source: Apple careers · View original posting
From Apple's posting. “We” and “our” refer to the employer.
Apple is where extraordinary people do their best work. If making a real impact excites you, a career here might be your dream — just be prepared to dream big.
Apple’s growing supply chain complexity demands innovative approaches beyond traditional data engineering. You’ll join a team designing and building modern, scalable data infrastructure that powers analytics, machine learning, and AI-driven decision-making across Operations. You’re passionate about building reliable data systems, staying ahead of technology trends, and thrive navigating ambiguity in a fast-paced environment. If this sounds like you, we’d love to talk.
Description
Engage with business and analytics teams to deeply understand data needs and translate requirements into robust, scalable engineering solutions that directly impact Operations decisions
Design and implement end-to-end data pipelines and architectures from ingestion and transformation to delivery across batch and real-time streaming workloads
Build and maintain high-quality data models (dimensional, relational, or knowledge graph-based) using modern transformation frameworks such as dbt, powering analytics and AIML use cases at scale
Partner with infrastructure and platform teams to manage cloud-native data environments (Snowflake, Spark, Delta Lake / Apache Iceberg) with a focus on performance, cost efficiency, and scalability
Leverage AI-assisted development tools (e.g., GitHub, Claude) and LLM-powered agents to accelerate pipeline authoring, code review, documentation, and transformation logic generation from natural language specifications
Apply DataOps principles including CI/CD pipelines, version control, automated testing, and containerization (Docker, Kubernetes) to deliver reliable, production-grade data products
Research and evaluate emerging data engineering technologies including streaming architectures, GenAI-powered data tooling, and next-generation warehousing to expand the team’s capabilities and accelerate innovation
LAYIQ is an independent job-discovery service. This listing does not imply a partnership with or endorsement by the employer. Review the original posting for current details and availability.
Employer posted: