Job Description
Role Overview
We are seeking a Data Engineer to design, build, and optimize scalable data pipelines and distributed data systems. This role involves working with large datasets, real-time and batch processing systems, and production-grade data infrastructure.
You will be responsible for transforming raw data into reliable, structured, and high-quality datasets that power analytics, machine learning, and operational systems.
Key Responsibilities
We are seeking a Data Engineer to design, build, and optimize scalable data pipelines and distributed data systems. This role involves working with large datasets, real-time and batch processing systems, and production-grade data infrastructure.
You will be responsible for transforming raw data into reliable, structured, and high-quality datasets that power analytics, machine learning, and operational systems.
Key Responsibilities
- Design and implement scalable ETL/ELT pipelines
- Build reliable batch and real-time data processing workflows
- Develop data ingestion systems from multiple sources (APIs, streaming, files, databases)
- Ensure data quality, validation, and monitoring
- Optimize data storage, query performance, and cost efficiency
- Design data models and schemas for analytical and operational use cases
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Submit ApplicationJob Details
- Location Phoenix, Arizona
- Job Type Full Time
- Category Computer Occupations
- Posted Date February 20, 2026
- Application Deadline April 01, 2026