Data Engineer, Finance
Core
Develops modern data pipelines and ETL processes within cloud-based data platforms to provide financial business intelligence and enable data-driven decision-making.
Role type
Senior Data Engineer (Finance)
Builds
Scalable data pipelines, ETL processes, and data models for financial reporting and operational analysis.
Domain
Finance / Cloud Data Engineering
Deliverable
production ML models | product features | dashboards & analysis
Required skills
SQL development, database design, ETL pipeline development, Python, PySpark, Databricks, cloud data platforms (Snowflake, Azure, AWS, Google Cloud), data warehousing, big data technologies, ERP/financial systems (SAP, Oracle, Workday), data visualization (Power BI, Qlik)
Preferred skills
Finance or Accounting domain knowledge, data visualization tools experience
Technologies
Snowflake, Azure, AWS, Google Cloud, Databricks, PySpark, Python, Power BI, Qlik, SAP, Oracle, Workday
Responsibilities
Design and maintain scalable data pipelines and ETL processes; manage data security frameworks and permissions; develop semantic layers for Power BI dashboards; maintain data models optimized for finance use cases; monitor data integrity and reconciliation; collaborate with developers and data scientists on advanced analytics; define project scope and deliverables.
Seniority
Senior, hands-on IC