Data Engineering Manager for AI Modernization

Accenture PLC; Chicago (IL); On-site; USD 87,000 - 254,000; Full time

Job summary

Accenture is seeking a data engineer for our Illinois-based modernization engagement. You will lead batch and streaming data pipelines, build production-grade data platforms, and ensure governance for AI workloads, including data quality and observability.

Travel may be required (0–100%) depending on client needs. You should have 5+ years in data engineering, 1–2 years in AI/LLM data work, strong Python and SQL, and hands-on experience with Kafka and Airflow in cloud environments.

Qualifications

• 5+ years hands-on data engineering experience.
• 1–2 years specifically on AI/LLM‑related data work.
• 5+ years with Python and SQL at production scale.
• 5+ years with streaming technologies and orchestration tools (Kafka, Airflow).

Responsibilities

• Lead data-engineering on a modernization engagement, building batch and streaming pipelines.
• Prepare productized data for AI consumption and data-plane governance.
• Implement governance: catalog, quality, lineage, observability for downstream trust.
• Travel may be required; travel levels vary by client needs.

Skills

Python

SQL

Data engineering

AI/LLM experience

Agile engineering

Cloud data platforms

Education

Bachelor's degree or equivalent (12 years)

Tools

Kafka

Airflow

Cloud platforms (AWS/GCP/Azure)

Job description

Accenture is seeking a data engineer for our Illinois-based modernization engagement. You will lead batch and streaming data pipelines, build production-grade data platforms, and ensure governance for AI workloads, including data quality and observability.

Travel may be required (0–100%) depending on client needs. You should have 5+ years in data engineering, 1–2 years in AI/LLM data work, strong Python and SQL, and hands-on experience with Kafka and Airflow in cloud environments.