Data Engineer, Finance (R6329)
Core
Build and operate scalable data pipelines and semantic-layer infrastructure connecting enterprise data to Finance products and AI workflows.
Role type
Senior Data Engineer (Finance)
Builds
Scalable data pipelines, semantic-layer infrastructure, and governed data access for analytics, planning, and AI applications.
Domain
Finance / Data Engineering / AI
Deliverable
production ML models
Required skills
SQL, Python, PySpark, cloud data platforms, data orchestration, data modeling, observability, data quality controls, AI coding assistants, FinOps
Preferred skills
Databricks, Delta Lake, cloud infrastructure, deployment automation, AI application backends, LLM-based workflows, financial data integrations
Technologies
Databricks, Genie, Snowflake Cortex
Responsibilities
Build and operate scalable pipelines connecting enterprise data to Finance products; Develop semantic-layer infrastructure and governed data access; Establish end-to-end pipeline observability and data-quality controls; Engineer services behind Databricks Genie and AI-enabled Finance workflows; Apply FinOps practices to manage platform spend; Partner with analytics engineers on architecture and data contracts.
