> Markdown version of [/jobs/ext/133010-data-engineer-data-solutions-initiatives](https://www.wearedevelopers.com/jobs/ext/133010-data-engineer-data-solutions-initiatives). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Engineer, Data Solutions & Initiatives - **Company:** Apple Inc. - **Location:** Austin, TX, United States - **Experience:** Expert - **Salary:** $181,100.0 - $272,100.0 - **Contract:** Permanent contract - **Skills:** Java (Programming Language), Application Programming Interfaces (APIs), Artificial Intelligence, Airflow, Data Analysis, Automation of Tests, BigQuery, Software as a Service, Cloud Database, Data as a Services, Data Validation, Data Infrastructure, Data Systems, Data Visualization, Database Queries, Software Debugging, Distributed Data Store, Python (Programming Language), Open Source Technology, Cloud Services, DataOps, Systems Integration, Tableau (Software), Cloud Platform System, Data Ingestion, Snowflake, Apache Spark, Containerization, Kubernetes, Apache Kafka, Streamlit Framework, Looker Analytics, Software Version Control - **Published:** May 19, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=c16689a4c09558c6 ## About the Role 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 ## Description 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 ## Related Videos - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [Enjoying SQL data pipelines with dbt](https://www.wearedevelopers.com/videos/823-enjoying-sql-data-pipelines-with-dbt) - [Data Governance in the Era of AI](https://www.wearedevelopers.com/videos/1622-data-governance-in-the-era-of-ai) - [Making Data Warehouses fast. A developer's story.](https://www.wearedevelopers.com/videos/302-making-data-warehouses-fast-a-developer-s-story) ## Related Articles - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk)