Akkodis Group Nordics · 6 hours ago
AI Engineer
Schaumburg, IL
Full-time
Hybrid
Senior Level
$44/hr - $45/hr
6+ years expAkkodis is seeking an AI Engineer for a Contract with a client in Schaumburg, IL. The ideal candidate will be responsible for configuring MCP within the data warehouse, developing AWS Glue Data Quality rules, and ensuring comprehensive data quality testing and governance workflows.
Embedded SoftwareSoftwareEmbedded Systems
Responsibilities
Configure and implement MCP (Master Control Process) within the data warehouse to support automated data quality and governance workflows
Develop, deploy, and maintain AWS Glue Data Quality rules to validate data accuracy, completeness, and integrity across pipelines
Perform end‑to‑end data quality testing in the DWH environment, including profiling, rule execution, anomaly detection, and issue tracking
Collaborate with data engineers, architects, and governance teams to ensure DQ standards are embedded into ETL/ELT pipelines and AI/ML data processes
Monitor, analyze, and troubleshoot data quality issues, ensuring timely resolution and continuous improvement of DQ frameworks
Support AI and GenAI‑enabled data validation and metadata processes by integrating automated checks and enhancing data reliability for downstream analytics
Qualification
Required
Bachelor's degree in computer science, Data Engineering, Information Systems, or a related technical field
6–8 years of experience in data engineering, data quality, or cloud data platform development
Strong client‑required hands‑on experience setting up MCP in a data warehouse environment to support automated governance and quality processes
Proven expertise in creating and validating AWS Glue Data Quality rules, including rule execution, DQ testing, and troubleshooting within cloud‑based DWH systems
Benefits
Medical
Dental
Vision
Life insurance
Short-term disability
Additional voluntary benefits
EAP program
Commuter benefits
401K plan
Paid Sick Leave
Holiday pay
Company
Akkodis Group Nordics
Akkodis Group Nordics, operates as a specialized tech cluster, combining expertise in Digital Engineering and Edge Technology.
1001-5000 employees
Funding
Current Stage
Late StageTotal Funding
unknownKey Investors
Reiten & Co
2020-03-16Acquired
2009-05-01Private Equity
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