Data Engineer III (Specialized)

Description and Requirements

At the University of Phoenix, we are committed to the future of work by providing a fully remote, work-from-home environment. This strategy enables us to attract top talent nationwide. Are you looking for a rewarding and fulfilling position that offers challenging work and the opportunity to make a significant impact while collaborating with a team of fun, innovative individuals? Would you prefer to work with an organization that positively contributes to the world? If so, we would love to hear from you!

Are you searching for a rewarding, fulfilling position that offers challenging work and the ability to make a big impact while working side-by-side with a team of fun, innovative people? Ideally, would you like this position to be with an organization that makes a positive contribution to the world? If so…we would love to hear from you!

About Us

University of Phoenix is a leading higher education institution founded in 1976 by Dr. John Sperling. Our mission is to improve the lives of our students, their families and future generations through higher education. Our values (which hopefully you share) are: Brave. Honest. Focused.

Our University values and embraces all team members and their unique perspectives. We fundamentally believe in fostering an environment which deeply respects, celebrates, and actively encourages a diverse workforce. We are committed to hiring - and learning from - those who share our passion to help others achieve their educational aspirations.

We offer excellent benefits, an effective recognition program, and outstanding learning and development tools, including tuition vouchers for employees and their qualified family members.

Job Title: Data Engineer III (Specialized)

Job Duties: The University of Phoenix, Inc. seeks a Data Engineer III (Specialized) in Phoenix, AZ to develop scalable cloud solutions to transform data into useful format for analysis, enhanced data flow and enablement of end users to consume data faster and easier.

Design, construct, and manage infrastructure and architecture for data generation, ensuring that data pipelines are efficient, scalable and reliable. Clean, process, and organize raw data for use in analytics, data science and machine learning. Extract, transform and load structured and unstructured data from a variety of data stores, such as data lakes, relational database management systems and/or data warehouses. Collaborate with Engineers, Data Analysts, Reporting Analysts, Data Scientists, Product Teams and other key stakeholders to translate business requirements to technical specifications and coded data pipelines for a range of difficult technical problems. Present and demonstrate data solutions to stakeholders, translating technical concepts into clear insights to drive understanding and adoption. Develop complex SQL queries to support analytics needs and work with tools, languages, and frameworks like R, Python, SQL, and AWS technologies such as Glue, RDS, Redshift, and Athena. Manage, optimize and process big datasets and large databases. Serve as mentor to less experienced team members to enable them to enhance their data engineering skills. May telecommute from anywhere in the United States 5 days a week. Annual Salary: 128,024.

Minimum Requirements: Requires a Master's degree in Computer Science, Electronic or Electrical Engineering or a related field plus 1 year of AI/ML data engineering experience in:

Data analytics, algorithms, machine learning frameworks, and structured/unstructured data;

SQL and optimizing performance of SQL statements;

Building and managing datasets for AI use cases;

Cloud services, data engineering, and AI/ML lifecycle management;

Data transformation tools such as: Informatica, SSIS, SSAS, HVR, Airflow, GLUE;

SQL, Python, S3, Redshift, Tableau, Power B data analytics technologies;

Agile and scaled Agile work settings;

LLMs, RAGs, Bedrock, Llama3, OpenAI, or Gemini AI/ML models and systems; and

AI deployment in cloud systems.

Interested candidates may apply online at https://uop.avature.net/careers/SearchJobs or may send resume to phoenixjobs@phoenix.edu. Reference code 448 in the subject line.

#LI-DNI

As an Equal Opportunity employer, we particularly encourage applications from members of historically underrepresented racial/ethnic groups, women, individuals with disabilities, veterans, LGBTQ community members, and others who demonstrate the ability to help us achieve our vision of a diverse and inclusive community.

If you are an active-duty military member seeking employment when off-duty, compliance with Department of Defense Joint Ethics Regulation, 5500-7-R, is required prior to starting employment with University of Phoenix. You are advised to contact your base Judge Advocate General to seek such approval and answer any questions.

Individuals in this role are eligible for:

• Annual Bonus Award

Your work is critical to helping adult learners achieve their dreams, and we're committed to rewarding you for your efforts. We offer a competitive, comprehensive total rewards package designed to help you achieve your health, financial and work-life balance goals.

Full-time employees are eligible for:

• Medical, dental and vision plans; Flexible Spending Accounts; Health Savings Accounts; Life and Disability insurance; and our Wellness incentive program;
• Competitive 401(k) employer match; and,
• A generous time off package, including paid vacation, sick time and company holidays.*
• For more details around paid time off benefits, please click here.

Application Deadline is 03/31/2027.

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