Senior Data Engineer — AI & Modernization

Accenture PLC; Columbus (OH); Presencial; USD 87.000 - 235.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Streaming and CDC experience

Archaeology tooling exposure

Agentic data architecture

Descripción de la vacante

Accenture is seeking a data engineer to lead data-engineering work on migration engagements, building pipelines and data products feeding AI systems. You will mine git history and perform dependency analysis to validate mappings before trusting a final schema.

The role requires 5+ years in data engineering with 1–2 years in AI/LLM contexts, 4+ years in agile settings, and strong Python/SQL production experience, including cloud data platforms. Travel may be required.

Formación

• Minimum 5 years of hands-on data engineering or data platform engineering with 1–2 years in AI/LLM-related data work.
• 4+ years in agile engineering or consulting teams.
• 3+ years with Python and SQL at production scale and at least one cloud data platform.
• Proficient in data lineage and observability; detect data drift and AI drift.
• 1+ year designing data supply for AI systems—vector stores, embedding pipelines, or agent-facing data products.

Responsabilidades

• Lead the data-engineering work on migration engagements; build pipelines and data products feeding AI systems.
• Apply evidence-extraction techniques (dependency analysis, git-history mining) to the source estate before mapping.
• Travel may be required; travel amount varies 0–100% based on business needs.

Conocimientos

Hands-on data engineering

Agile engineering

Python

SQL

Data lineage

Data observability

AI data products design

Educación

Bachelor's degree or equivalent

Descripción del empleo

Accenture is seeking a data engineer to lead data-engineering work on migration engagements, building pipelines and data products feeding AI systems. You will mine git history and perform dependency analysis to validate mappings before trusting a final schema.

The role requires 5+ years in data engineering with 1–2 years in AI/LLM contexts, 4+ years in agile settings, and strong Python/SQL production experience, including cloud data platforms. Travel may be required.