Expedient · 2 months ago
AI Data Outcomes Engineer
Expedient is seeking a Data Engineer to join their AI CTRL product team, where you'll transform complex datasets into AI-ready data for enterprise clients. In this role, you will design data pipelines, ensure data quality, and collaborate with cross-functional teams to support AI decision-making.
Cloud ComputingCyber SecurityInformation ServicesInformation TechnologySecurityTelecommunicationsVirtualization
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
Qualification
Required
5+ years designing and building data pipelines and ETL processes in production environments
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
Adaptable in fast-paced environments
Strong ownership mentality
Entrepreneurial mindset
Excellent communicator
Passionate about solving business problems with data
Bachelor's degree in Computer Science, Data Engineering, or related field (or equivalent practical experience)
Company
Expedient
Expedient is a network of data centers offering cloud computing, a wide range of managed services, and network connectivity.
Funding
Current Stage
Growth StageTotal Funding
unknown2019-10-21Acquired
Leadership Team
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