Job Title: Data Engineering & Analytics
Location: Cupertino, CA (Hybrid) / Austin, TX / Seattle, WA
Type: Long term contract
Exp: 12+ Years
Rate: $65/hr
Only H1B & H4 EAD visa holders - PP number is mandatory
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).
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.
