The Role
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.
Key Responsibilities
Salary for this position will be based on your experience and your skills. Estimated salary range is $125,000 to $175,000 annually.
Sponsorship is not provided. Employees collaborate in the office Monday through Friday.
Key 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
- 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)
Salary for this position will be based on your experience and your skills. Estimated salary range is $125,000 to $175,000 annually.
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The Company
What We Do
Expedient is a network of data centers offering cloud computing, a wide range of managed services, and network connectivity.








