Data Engineer, Data Solutions & Initiatives

As a DSI Data Engineer, you will design and build core components of our internal data platform, spanning ingestion pipelines, semantic layers, and metadata systems as we move towards a data mesh. Your role involves bridging open-source technologies (e.g., Kafka, Spark, Iceberg) with our internal ecosystem-shaping how teams discover, use, and trust data for analytics and AI workloads. You will collaborate with other engineers, product managers, program managers, and end users to understand data needs and evolve platform capabilities that improve scale, quality, and usability. This hands-on engineering role emphasizes systems thinking, technical craftsmanship, and delivering tools that unlock real business value.","responsibilities":"Build scalable, cloud-native data systems that support data exploration, reporting, and production ML/AI use cases

Integrate open-source components with internal tools and APIs to streamline platform usability

Develop and maintain data ingestion pipelines, metadata services, and performance-optimized storage layers

Ensure the platform supports AI-readiness, including high-quality, discoverable, and semantically rich data

Collaborate with internal customers to understand workflows and shape new platform features

Partner with engineers, engineering program managers, and US-based teams to ensure alignment, reusability, and shared standards

Support production systems through monitoring, debugging, and operational improvements

Commitment to data engineering best practices including version control, automated testing, data quality checks.

Experience designing and building cloud-based applications, APIs, and data services

Understanding of BI and analytics needs, and experience building for internal business use cases

Hands-on experience integrating with business intelligence or visualization tools (e.g., Streamlit, Tableau, Looker)

Experience working in global teams or serving as a technical contributor in a regional hub

Minimum Qualifications

7+ years of experience building distributed data applications and cloud-native platforms

AI/ML pipeline enablement (building real-time pipelines, feature stores, vector databases)

Exposure to GenAI use cases and their data and pipeline requirements

Proficiency in Python, Scala/Java, with experience developing scalable and maintainable systems

Strong SQL skills and experience with cloud data warehouses (e.g., Snowflake, BigQuery)

Experience with modern data infrastructure tools (e.g., Spark, Kafka, Airflow, Iceberg)

Experience with Kubernetes, distributed compute frameworks, or containerized environments

Ability to build CI/CD pipelines to support large scale AI systems

4.14.1 out of 5 stars Austin, TX $181,100 - $272,100 a year, Pulled from the full job description

• Employee stock purchase plan
• Health insurance
• Retirement plan
• Dental insurance
• RSU, At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $181,100 and $272,100, and your base pay will depend on your skills, qualifications, experience, and location.

Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits.

Imagine what you could do here. The people here at Apple don't just create products - they create the kind of wonder that's revolutionized entire industries. It's the diversity of those people and their ideas that inspires the innovation that runs through everything we do, from amazing technology to industry-leading environmental efforts. Join Apple, and help us leave the world better than we found it. Data Solutions & Initiatives (DSI) is a dynamic team within Apple's Worldwide Sales organization. Our mission is to drive innovation through product design, engineering, and portfolio management. We thrive in a startup-like atmosphere where individuals take ownership and have a significant impact on the final product. In this environment, we move quickly, experiment boldly, and expect our team to take full ownership of what they deliver.