Data Engineer

Hello, Role: Data Engineering & Analytics Consultant Location: Cupertino, CA / Austin, TX / Seattle, WA I am looking for EX-apple employee candidates Note: Data engineering, Advance proficiency in Python, SQL with 4-5 years exp. Job Overview : We are seeking a Software Engineer with strong SQL and Python skills to develop reliable data pipelines, optimize complex workflows, and deliver scalable data products that empower decision-making across Apple’s ecosystem. Key Responsibilities: • Design, build, and optimize ETL/ELT data pipelines using Python, SQL, and modern orchestration tools. • Develop and maintain data models, APIs, and microservices that enable analytical and operational use cases. • Work closely with cross-functional partners (Data Science, Product, Finance, and Operations) to translate business needs into engineering solutions. • Apply software engineering best practices (version control, CI/CD, testing, observability) to data workflows. • Optimize data quality, scalability, and latency across distributed systems (Snowflake, Spark, Databricks, etc.). • Participate in architecture discussions on data warehousing, event streaming, and ML data pipelines. • Ensure compliance with Apple’s privacy, security, and governance standards in all data operations. Minimum Qualifications: • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field. • 3–7 years of experience in software or data engineering. • Advanced proficiency in Python (Pandas, PySpark, or similar frameworks). • Strong SQL expertise — ability to write and optimize complex queries and stored procedures. • Proven experience with data modeling, schema design, and performance tuning. • Experience building or orchestrating workflows using Airflow, Dagster, or similar tools. • Solid understanding of APIs, CI/CD pipelines, Git, and containerization (Docker/Kubernetes).