Senior Data Engineer, AI Product & Lakehouse

Baker Tilly (US); Santa Monica (CA); Presencial; USD 185 000 - 230 000; Tempo integral

Resumo da oferta

Baker Tilly is seeking a Sr Data Engineer to join the AI Product Group. This hands-on role builds scalable data infrastructure powering AI apps and knowledge retrieval.

You will design governed data foundations transforming documents into data products and collaborate with global teams to deliver production-ready solutions. Ideal candidates have strong Python/SQL, lakehouse experience, and a track record of reliable data pipelines; ML/knowledge-graph background not required but beneficial.

Qualificações

• Bachelor's degree in Computer Science, Engineering, or related field; advanced degree preferred.
• 3 years hands-on data engineering or software engineering experience with production pipelines.
• Experience building production pipelines on a modern lakehouse platform with data processing ownership.
• Strong Python and SQL, with ability to develop production-grade data solutions.

Responsabilidades

• Design, build, and maintain scalable batch and incremental data pipelines.
• Develop lakehouse architecture, data models, and data integration across sources.
• Ensure data quality, lineage, and provenance across pipelines.
• Develop knowledge graphs and retrieval pipelines for AI applications.
• Own production delivery, monitoring, and operational readiness.
• Collaborate with global teams to align with enterprise standards.

Conhecimentos

Python proficiency

SQL proficiency

Analytical thinking

Communication skills

Formação académica

Bachelor's degree in Computer Science, Engineering, or related field

Ferramentas

Databricks

Apache Spark

Delta Lake

Medallion architecture

Azure

Unity Catalog

Knowledge graphs

Graph databases

Vector search

Descrição da oferta de emprego

Baker Tilly is seeking a Sr Data Engineer to join the AI Product Group. This hands-on role builds scalable data infrastructure powering AI apps and knowledge retrieval.

You will design governed data foundations transforming documents into data products and collaborate with global teams to deliver production-ready solutions. Ideal candidates have strong Python/SQL, lakehouse experience, and a track record of reliable data pipelines; ML/knowledge-graph background not required but beneficial.