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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI Data Engineer- Intl LATAM - **Company:** Insight Global - **Location:** Doraville, GA, United States - **Salary:** $93,600.0 - $114,400.0 - **Contract:** Permanent contract - **Skills:** Microsoft Excel, Artificial Intelligence, Microsoft Azure, Cloud Database, Cloud Storage, Customer Data Management, Data Architecture, Data Validation, Data Cleansing, Information Engineering, Data Governance, Data Infrastructure, Extract Transform Load (ETL), Data Transformation, Data Security, Data Structures, Data Warehousing, Digital Assets, Dimensional Modeling, Document-Oriented Databases, Python (Programming Language), Machine Learning, Operational Data Store, Power BI, Salesforce.Com, SQL Databases, Systems Integration, Enterprise Data Management, Oracle Hyperion, Feature Engineering, Azure Data Factory, AI Platforms, Machine Learning Operations, Api Design, Restful APIs, Oracle Cloud Infrastructure, Data Pipelines - **Published:** June 29, 2026 - **Apply:** https://www.juju.com/job/00000000gcbfs0 ## About the Role SQL (Advanced) Expert Primary language for data warehouse, ODS, Oracle EPM, and OHM ERP queries Python- Strong ETL scripts, data transformation, integration with AI/ML pipelines ETL/ELT Tools Strong Azure Data Factory, dbt, or equivalent orchestration tools Cloud Data (Azure)- IntermediateSSB infrastructure runs on Azure - storage, ADF, SQL Database, Blob Data Modeling Strong Dimensional modeling, data structures for analytics and AI consumption API Development- Intermediate REST APIs for data service layers and cross-system integration AI/ML Concepts Familiarity Understanding model data requirements, feature engineering, and AI pipeline patterns ERP Systems- Familiarity OHM or similar manufacturing/finance ERP systems - understanding data structures and export patterns Experience with Oracle EPM, Oracle Cloud, or similar financial planning systems * Background in manufacturing or CPG data environments * Experience building data pipelines that serve AI/ML models in production * Familiarity with Salesforce data integration * Experience with document processing pipelines (OCR, PDF extraction) * Knowledge of data governance frameworks and data quality tools ## Description The AI Center of Excellence has built a portfolio of over 100 AI opportunities across a client of IG, with 10+ active projects delivering validated prototypes to business stakeholders. The CoE has proven its ability to rapidly prototype AI solutions - multiple projects have achieved validated results within weeks. However, the consistent pattern across all active projects is the same: the path from prototype to production requires dedicated data engineering capabilities that the CoE does not currently have. Today, data preparation consumes approximately 45-55% of the AI Solution Architect's time - time that should be spent on architecture, stakeholder engagement, and new opportunity development. Every prototype relies on manual data exports (Excel, CSV) rather than automated pipelines connected to enterprise systems. This bottleneck limits both the number of projects the CoE can support and the speed at which validated prototypes can reach production. The AI Data Engineer will be embedded within the CoE, focused on building the data pipelines and enterprise integrations needed to move AI solutions from prototype to production. This role is the critical enabler for the clients $10M incremental EBITDA target - without production-grade data infrastructure, validated prototypes remain prototypes., *Design, build, and maintain ETL/ELT pipelines from enterprise systems (Oracle EPM, OHM ERP, Salesforce, Power BI) *Create reusable data connectors and transformation layers that serve multiple AI projects simultaneously *Implement data quality monitoring, alerting, and automated refresh scheduling *Build and maintain the data infrastructure on Azure (Data Factory, SQL Database, Blob Storage) Enterprise Data Integration (25%) *Collaborate with the Data Architecture team on data warehouse access, governance, and standards *Navigate data access processes for cross-business-unit projects (Finance, Manufacturing, Sales, Field Ops) *Maintain data contracts and SLAs between source systems and AI applications *Serve as the liaison between AI projects and enterprise data systems AI/ML Data Support (20%) *Prepare and maintain datasets for AI model training and inference *Build data validation frameworks to ensure model input quality *Support both real-time and batch data requirements for AI services *Leverage AI agents and automation tools for data preparation (e.g., automated data cleansing, schema detection) Documentation & Compliance (15%) *Document data lineage, schemas, and transformation logic for all CoE data assets *Ensure compliance with SSB data governance policies *Maintain a data catalog covering all CoE data assets and their enterprise source systems * Support audit and compliance requirements for AI solutions handling financial or sensitive data ## Related Videos - [Rest API Antipatterns](https://www.wearedevelopers.com/videos/100208-rest-api-antipatterns) - [Inside the AI Revolution: How Microsoft is Empowering the World to Achieve More](https://www.wearedevelopers.com/videos/869-inside-the-ai-revolution-how-microsoft-is-empowering-the-world-to-achieve-more) - [API Design - Getting Started](https://www.wearedevelopers.com/videos/33-api-design-getting-started) - [Beyond Dashboards: Fixing Text-to-SQL with Semantic RAG](https://www.wearedevelopers.com/videos/2036-beyond-dashboards-fixing-text-to-sql-with-semantic-rag) - [REST In Peace: Why LLMs Can't CRUD](https://www.wearedevelopers.com/videos/100272-rest-in-peace-why-llms-can-t-crud) - [Data Analytics with Microsoft Fabric: End-to-End Use Case with Data Agents](https://www.wearedevelopers.com/videos/1547-data-analytics-with-microsoft-fabric-end-to-end-use-case-with-data-agents) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [What Industries Outside of AI Are Hiring The Most AI Experts?](https://www.wearedevelopers.com/magazine/98-what-industries-outside-of-ai-are-hiring-the-most-ai-experts) - [Stephan Gillich - Bringing AI Everywhere](https://www.wearedevelopers.com/magazine/489-stephan-gillich-bringing-ai-everywhere) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift)