Senior Data Engineer – AI Pipelines & Modernization

Accenture PLC; Austin (TX); Sur place; USD 95 000 - 210 000; Plein temps

Avantages offerts par ce poste

Medical benefits

401(k) plan

Paid holidays

Paid time off

Bonus opportunities

Résumé du poste

Accenture PLC seeks a data engineer to lead data-engineering on a migration engagement, building pipelines and data products that feed AI systems. You will use evidence-extraction techniques, dependency analysis, and git-history mining to validate the source estate before mappings are trusted.

Travel may be required; you will join a global team delivering AI-enabled data platforms with strong emphasis on data quality, observability, and scalable analytics.

Qualifications

• 5+ years hands-on data engineering or data platform engineering.
• 4+ years in Agile engineering or consulting teams.
• 3+ years with Python and SQL at production scale and at least one cloud data platform.
• Experience with data lineage and data observability to catch drift.
• 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 with 1–2 years of LLM work.
• Bachelor's degree or equivalent (12 years) of work experience.

Responsabilités

• Lead the data-engineering work on a migration engagement.
• Build pipelines and data products feeding AI systems.
• Apply evidence-extraction techniques such as dependency analysis and git-history mining to validate the source estate.

Connaissances

Data engineering

Python

SQL

AI data work

Data lineage

Agile

Formation

Bachelor's degree

Outils

Git

Airflow

Description du poste

Accenture PLC seeks a data engineer to lead data-engineering on a migration engagement, building pipelines and data products that feed AI systems. You will use evidence-extraction techniques, dependency analysis, and git-history mining to validate the source estate before mappings are trusted.

Travel may be required; you will join a global team delivering AI-enabled data platforms with strong emphasis on data quality, observability, and scalable analytics.