AI Migration Data Engineer: Pipelines & Data Products

Accenture PLC; Seattle (WA); On-site; USD 101,000 - 270,000; Full time

Job summary

Accenture is seeking a data engineer to lead the data-engineering work on a migration engagement, building pipelines and data products for AI systems. You will apply evidence-extraction techniques, dependency analysis, and git-history mining to validate the source estate before mapping.

The role requires 5+ years in data engineering, 1-2 years AI/LLM data work, Python and SQL production experience, and strong data lineage/observability. Travel may be required up to 100% depending on client needs.

Qualifications

• Minimum of 5 years of hands-on data engineering or data platform engineering, with at least 1-2 years specifically on AI/LLM-related data work.
• Minimum of 4 years of experience working in agile engineering or consulting teams.
• Minimum of 3 years with Python and SQL at production scale, plus at least one cloud data platform.
• Working fluency with data lineage and data observability - catching drift as data drift before it surfaces as AI drift
• Minimum of 1 year designing data supply for AI systems - vector stores, embedding pipelines, or agent-facing data products.
• AI-adjacent experience counts toward the bars above: strong credentials in the neighboring discipline combined with 1-2 years of hands-on LLM work is exactly the profile we grow.
• Bachelor's degree or equivalent (minimum 12 years) work experience. (If Associate's Degree, must have minimum 6 years work experience).

Responsibilities

• Lead data-engineering work on a migration engagement: pipelines and data products feeding AI systems, with evidence-extraction techniques - dependency analysis, git-history mining - applied to the source estate before a single mapping is trusted.
• Travel may be required for this role. The amount of travel will vary from 0 to 100% depending on business need and client requirements.

Skills

Data engineering

Python

SQL

Git history mining

Data lineage

Data observability

AI/LLM

Agile

Cloud data platform

Education

Bachelor's degree or equivalent

Tools

Kafka

Flink

Git

Cloud data platform

Job description

Accenture is seeking a data engineer to lead the data-engineering work on a migration engagement, building pipelines and data products for AI systems. You will apply evidence-extraction techniques, dependency analysis, and git-history mining to validate the source estate before mapping.

The role requires 5+ years in data engineering, 1-2 years AI/LLM data work, Python and SQL production experience, and strong data lineage/observability. Travel may be required up to 100% depending on client needs.