Data Analyst, Financial Data Engineering
Core
Design, build, and own scalable data infrastructure and pipelines to power financial reporting, risk measurement, and operational decisioning for Treasury Finance.
Role type
Senior Data Engineer (Financial Data Engineering)
Builds
Production-grade data pipelines, ETL/ELT workflows, and self-service analytics layers for Treasury Finance
Domain
Fintech / Financial Infrastructure / Treasury
Deliverable
production ML models | product features | dashboards & analysis
Required skills
SQL (complex query optimization, data modeling), Python (pipeline development), Spark (distributed data frameworks), workflow orchestration (Airflow, Flyte), production data pipeline design, data quality standards enforcement, SLA management, data storytelling
Preferred skills
Experience at growth-stage internet/software companies, Treasury/Finance domain knowledge, data quality frameworks (data contracts, tiering), leadership reporting creation, financial reporting infrastructure experience, AI tools proficiency (code assistants, LLM agents)
Technologies
Spark, Airflow, Flyte, Python, SQL
Responsibilities
Design and maintain scalable data pipelines for financial reporting and risk measurement; Model and transform raw data into clean datasets for Treasury Finance; Establish data quality standards, monitoring, and alerting; Partner with stakeholders to translate business requirements into data architecture; Build self-service tooling for autonomous data access; Leverage AI tools to accelerate pipeline development and automation
Seniority
Senior, hands-on IC
