Client-Facing Data Integration Engineer for AI Workflows

Aptean; Alpharetta (GA); On-site; USD 100,000 - 150,000; Full time

Job summary

Aptean is seeking a Forward Deployed Data Integration Engineer to join ASCENT (AI Services for Continuous Enterprise Transformation) in Alpharetta. You will design, build, and operate production-grade data integrations that access and update data across diverse customer systems and enable AI workflows.

You will work with business analysts to define data requirements, identify data sources, and develop robust data pipelines, extractors, and semantic layer integrations.

Qualifications

• 4–10 years of experience integrating enterprise systems and extracting data.
• Strong proficiency in Python scripting and automation.
• Ability to write efficient SQL queries for data analysis and troubleshooting.
• Familiarity with APIs, enterprise integrations, and systems of record such as ERP and CRM.
• Familiarity with AI-related integration patterns such as Model Context Protocol (MCP).
• Knowledge of business processes such as order to cash and procure to pay.

Responsibilities

• Partner with business analysts to understand customer data requirements and extraction cadence.
• Identify data sources across customer system landscapes and define appropriate extraction techniques.
• Build, operate, and support production-grade data pipelines for AI workflows.
• Develop extractors that populate the Aptean semantic layer, including ontology nodes and relationships.
• Troubleshoot data extraction, transformation, and integration issues and improve reliability.

Skills

Python scripting

SQL queries

APIs

MCP

Data integration

Job description

Aptean is seeking a Forward Deployed Data Integration Engineer to join ASCENT (AI Services for Continuous Enterprise Transformation) in Alpharetta. You will design, build, and operate production-grade data integrations that access and update data across diverse customer systems and enable AI workflows.

You will work with business analysts to define data requirements, identify data sources, and develop robust data pipelines, extractors, and semantic layer integrations.