Role overview
**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.