Lead AI Data Engineer — Migration & Data Pipelines

Accenture PLC; Chicago (IL); Sur place; USD 87 000 - 254 000; Plein temps

Avantages offerts par ce poste

Medical, dental, vision insurance

401(k) retirement plan

Paid holidays and PTO

Résumé du poste

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 use evidence-extraction techniques and git-history mining to source data before mapping, with travel as needed.

Required: 5+ years in data engineering, 3+ years Python/SQL in production, 4+ years in agile teams, and experience with data lineage, AI data supply, and cloud platforms. Accenture offers competitive benefits.

Qualifications

• 5+ years hands-on data engineering or data platform engineering
• 4+ years experience in agile engineering or consulting teams
• 3+ years with Python and SQL at production scale and at least one cloud data platform
• Fluency with data lineage and observability to detect drift
• 1 year designing data supply for AI systems like vector stores or embedding pipelines
• AI-adjacent experience counts toward the bars above
• Bachelor’s degree or Equivalent work exp (12 years total)

Responsabilités

• Lead data-engineering work on a migration engagement—pipelines and data products feeding AI systems
• Apply evidence-extraction techniques such as dependency analysis and git-history mining
• Travel may be required; travel amount varies by business need and client requirements

Connaissances

Data engineering

Python

SQL

Data lineage

LLM

Agile teams

Travel

Formation

Bachelor's degree or equivalent (minimum 12 years)

Associate's Degree option requires 6+ years

Outils

Kafka

Flink

Description du poste

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 use evidence-extraction techniques and git-history mining to source data before mapping, with travel as needed.

Required: 5+ years in data engineering, 3+ years Python/SQL in production, 4+ years in agile teams, and experience with data lineage, AI data supply, and cloud platforms. Accenture offers competitive benefits.