Senior Data Engineer - Remote, Scalable Data Pipelines

University of Phoenix; Phoenix (AZ); Remote; USD 115,000 - 141,000; Full time

Benefits offered by this job

Annual Bonus Award

Tuition vouchers for employees and ass

Job summary

University of Phoenix is hiring a Data Engineer III (Specialized) to build scalable cloud data solutions and enable fast, reliable data access for analytics and ML workflows. The role emphasizes collaboration with data scientists, analysts, and product teams to translate business requirements into robust data pipelines.

The position supports a fully remote work-from-home environment across the United States, with a strong focus on modern data platforms, performance tuning, and mentoring junior

Qualifications

• Master’s degree in CS, EE or related field with 1 year of AI/ML data engineering experience.
• Experience with data analytics, algorithms and ML frameworks.
• Strong SQL skills and performance optimization.
• Experience building datasets for AI use cases.
• Familiarity with cloud services and data engineering lifecycle.

Responsibilities

• Design, construct, and manage data infrastructure for scalable data generation and analytics.
• Clean, process, and organize raw data for analytics, data science, and ML use.
• ETL: extract, transform, load data from data lakes, RDBMS, and data warehouses.
• Collaborate with engineers, analysts, data scientists, and product teams to translate requirements.
• Develop complex SQL queries and work with AWS Glue, Redshift, Athena, and related tools to support analytics.

Skills

SQL

Python

AI/ML

Education

Master’s degree in CS/EE or related field

Tools

Informatica

SSIS

SSAS

HVR

Airflow

GLUE

S3

Redshift

Tableau

Power BI

Job description

University of Phoenix is hiring a Data Engineer III (Specialized) to build scalable cloud data solutions and enable fast, reliable data access for analytics and ML workflows. The role emphasizes collaboration with data scientists, analysts, and product teams to translate business requirements into robust data pipelines.

The position supports a fully remote work-from-home environment across the United States, with a strong focus on modern data platforms, performance tuning, and mentoring junior