Senior AI Data Engineer — Migration & Data Products

Accenture PLC; Atlanta (GA); Presencial; USD 120.000 - 180.000; Jornada completa

Descripción de la vacante

Accenture is seeking a data engineer to lead data-engineering work on a migration engagement, building pipelines and data products that feed AI systems. You will use evidence-extraction techniques such as dependency analysis and git-history mining to validate source mappings before trusting them.

Candidates should have 5+ years of data engineering experience, 1–2 years in AI/LLM data work, and proficiency with Python, SQL, and cloud data platforms. Travel may be required.

Formación

• 5+ years hands-on data engineering, with 1-2 years on AI/LLM data work.
• 4+ years experience in agile engineering or consulting teams.
• 3+ years with Python and SQL at production scale, plus at least one cloud data platform.
• Fluent with data lineage and data observability to catch drift early.
• Minimum 1 year designing data supply for AI systems (vector stores, embeddings, or agent-facing data products).
• AI-adjacent experience with 1-2 years of LLM work is welcome.

Responsabilidades

• 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—before mappings are trusted.
• Collaborate with agile teams and travel as needed (0–100% depending on business needs).

Conocimientos

Data engineering

Python

SQL

Git

AI/LLM data work

Agile methodologies

Educación

Bachelor's degree or equivalent (minimum 12 years) work experience

Herramientas

Cloud data platform

Data lineage tooling

Descripción del empleo

Accenture is seeking a data engineer to lead data-engineering work on a migration engagement, building pipelines and data products that feed AI systems. You will use evidence-extraction techniques such as dependency analysis and git-history mining to validate source mappings before trusting them.

Candidates should have 5+ years of data engineering experience, 1–2 years in AI/LLM data work, and proficiency with Python, SQL, and cloud data platforms. Travel may be required.