AI-Driven Data Engineer for Modernization

Accenture PLC; St. Louis (MO); Presencial; USD 87.000 - 254.000; Jornada completa

Descripción de la vacante

Accenture is seeking a data engineer to lead data-engineering work on migration engagements, building pipelines and data products that feed AI systems. You will apply evidence-extraction techniques—dependency analysis and git-history mining—before a mapping is trusted, with travel up to 100% as needed.

We value hands-on Python and SQL at production scale, a cloud data platform, and strong skills in data lineage and observability to catch drift early in AI pipelines.

Formación

• 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).

Responsabilidades

• Lead the data-engineering work on a migration engagement: pipelines and data products feeding AI systems (Data Pipelines and Data Products), 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.

Conocimientos

Python

SQL

Cloud data platform

Data lineage

Data observability

Vector stores

Embedding pipelines

Agent-facing data products

Agile engineering

Git history mining

Educación

Bachelor's degree or equivalent

Herramientas

Kafka

Flink

Descripción del empleo

Accenture is seeking a data engineer to lead data-engineering work on migration engagements, building pipelines and data products that feed AI systems. You will apply evidence-extraction techniques—dependency analysis and git-history mining—before a mapping is trusted, with travel up to 100% as needed.

We value hands-on Python and SQL at production scale, a cloud data platform, and strong skills in data lineage and observability to catch drift early in AI pipelines.