Senior Digital Asset Finance Analytics Engineer — Remote (United States)

Overview

Develop trusted financial analytics datasets and automated reconciliation workflows for digital-asset operations. Work with finance and data engineering teams to build tested pipelines, reporting and a finance data lake, investigate accounting discrepancies and replace recurring manual close work with reliable automation.

Requirements

• At least seven years of experience in data analytics and data management within financial services or another regulated industry, working directly with finance teams.
• Strong production SQL and Python engineering, including debugging and maintaining code.
• Hands-on experience building pipelines and data models with dbt, Spark, Airflow or comparable tools.
• Experience with Git, code reviews, testing and clear technical documentation.
• Direct experience handling accounting and finance data such as subledgers, reconciliations, cost basis or month-end closing.
• Ability to own end-to-end production data pipelines, monitor quality and resolve financial data discrepancies.
• Excellent communication with accounting and engineering stakeholders.
• Prior cryptocurrency transaction data or large-scale distributed-finance-data processing is advantageous, not mandatory.

Responsibilities

• Build tested data pipelines and analytical models for financial reporting.
• Automate finance data preparation, reconciliation, exception handling and recurring close activities.
• Investigate accounting data discrepancies with finance and engineering teams.
• Develop financial dashboards and support trusted finance data-lake reporting.
• Maintain pipeline controls, monitoring, data definitions and operational documentation.
• Evaluate reliable automation improvements, including AI-assisted workflows.

Conditions

• Full-time, fully remote position within the United States.