AI-Driven Data Engineer: Migration & Data Products

Accenture PLC; City of Albany (NY); On-site; USD 87,000 - 294,000; Full time

Job summary

Accenture in the United States is seeking a data engineer to lead data-engineering work on a migration engagement. You’ll build pipelines and data products feeding AI systems, using evidence-extraction techniques like dependency analysis and git-history mining to validate mappings before they are trusted.

Expect travel 0–100% as needed by the client, and a collaborative, agile environment that values data lineage, observability, and practical AI-ready data platforms.

Qualifications

• 5+ years hands-on data engineering, with 1-2 years AI/LLM data work.
• 4+ years experience in agile engineering or consulting teams.
• 3+ years with Python and SQL at production scale, plus a cloud data platform.
• Fluency with data lineage and data observability, catching drift early.
• 1+ year designing data supply for AI systems—vector stores, embeddings, or agent-facing data products.
• AI-adjacent experience with 1-2 years of hands-on LLM work.
• Bachelor's degree or equivalent (minimum 12 years) work experience; if Associate's Degree, minimum 6 years.

Responsibilities

• Lead the data-engineering work on a migration engagement: pipelines and data products feeding AI systems.
• Apply evidence-extraction techniques (dependency analysis, git-history mining) to the source estate before mappings are trusted.
• Travel may be required for this role; amount of travel will vary by business need and client requirements.

Skills

Python

SQL

Data lineage

Data observability

AI/LLM work

Agile engineering

Education

Bachelor's degree or equivalent

Tools

Cloud data platform

Job description

Accenture in the United States is seeking a data engineer to lead data-engineering work on a migration engagement. You’ll build pipelines and data products feeding AI systems, using evidence-extraction techniques like dependency analysis and git-history mining to validate mappings before they are trusted.

Expect travel 0–100% as needed by the client, and a collaborative, agile environment that values data lineage, observability, and practical AI-ready data platforms.