AI-Driven Data Engineer for ML Pipelines & Migrations

Accenture PLC; Detroit (MI); Sur place; USD 94 000 - 294 000; Plein temps

Résumé du poste

Accenture is seeking a seasoned data engineer to lead migration-related data pipelines and data products feeding AI systems. The role emphasizes data lineage, observability, and evidence-extraction techniques such as git-history mining to ensure mapping trust prior to deployment.

The position involves working in agile engineering or consulting teams, with 5+ years in data engineering and 1–2 years in AI/LLM data work, plus a bachelor’s degree or equivalent.

Qualifications

• Minimum of 5 years hands-on data engineering or data platform engineering.
• At least 1–2 years on AI/LLM data work.

Responsabilités

• Lead data-engineering work on a migration engagement: pipelines and data products for AI systems.
• Apply evidence-extraction techniques (dependency analysis, git-history mining) before mapping is trusted.
• Travel may be required (0–100% depending on business need).

Connaissances

Data engineering

Python

SQL

Agile teams

Data lineage

Data observability

AI/LLM data work

Formation

Bachelor's degree or equivalent

Outils

Git history mining

Vector stores

Embedding pipelines

Cloud data platform

Description du poste

Accenture is seeking a seasoned data engineer to lead migration-related data pipelines and data products feeding AI systems. The role emphasizes data lineage, observability, and evidence-extraction techniques such as git-history mining to ensure mapping trust prior to deployment.

The position involves working in agile engineering or consulting teams, with 5+ years in data engineering and 1–2 years in AI/LLM data work, plus a bachelor’s degree or equivalent.