AI Data Outcomes Engineer
About The Position
Join Expedient's AI CTRL product team as an AI Data Engineer, where you'll transform complex, unstructured datasets into clean, AI-ready data for enterprise clients. Working on-site in Expedient's Phoenix data center facilities, you'll play a critical role in ensuring client data drives accurate AI/ML decision-making within our enterprise cloud environment. Expedient provides multi-cloud platforms, offers hosting and cyber security, and data center infrastructure as a service (IaaS) solutions to its clients. For more information about our cloud technology and solutions, please visit us at www.expedient.com Sponsorship is not provided. Employees collaborate in the office Monday through Friday.
Requirements
- Experience: 5+ years designing and building data pipelines and ETL processes in production environments
- Technical Expertise: Proficiency in Python, SQL, and ETL frameworks (Apache Airflow, AWS Glue, etc.); strong knowledge of SQL/NoSQL databases; experience with unstructured data transformation; familiarity with big data frameworks and AI/ML concepts
- Key Attributes: Adaptable in fast-paced environments, strong ownership mentality, entrepreneurial mindset, excellent communicator, passionate about solving business problems with data
- Education: Bachelor's degree in Computer Science, Data Engineering, or related field (or equivalent practical experience)
- Location: Phoenix, Arizona data center and office facility. On-site role, regional travel may be required.
Responsibilities
- Transform Data for AI: Ingest, structure, and cleanse large unstructured datasets, making them suitable for AI/ML model training and analysis
- Build Data Pipelines: Design and maintain scalable ETL workflows that integrate data from diverse sources into our AI platform
- Ensure Data Quality: Implement validation and cleansing processes that directly impact AI model accuracy
- Collaborate Cross-Functionally: Work closely with our Agentic AI professional services team and Solution Architects to meet AI use-case requirements
- Engage with Clients: Explain complex data concepts in simple terms, helping stakeholders understand how quality data drives better AI outcomes
- Optimize & Innovate: Troubleshoot pipeline issues, enhance performance, and stay current with emerging data engineering technologies
Benefits
- We prioritize ongoing education and continuous innovation to remain at the forefront of the information technology landscape.
- Our commitment to learning is reflected in our comprehensive employee training and tuition reimbursement programs, which are driven by our employees and funded by Expedient 100%.
- For our full-time employees we offer an exceptional benefits package including three weeks of paid time off annually that increases with tenure plus your birthday off and a health holiday to be used for preventive care.
- We offer parental leave, top-tier medical, dental, and vision, disability and life insurance, at an affordable rate, wellness engagement opportunities, and a 401(k) with a generous match.
- We also recognize the importance of a comfortable and convenient work environment.
- We offer a hybrid work model for many roles, paid parking and other perks.
- Expedient is an equal opportunity employer. Qualified applicants will receive fair and equitable consideration for employment without regard to their race, color, religion, national origin, gender, protected veteran status, disability, or any other characteristic protected by law.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Number of Employees
251-500 employees
